A demo MCP server exposing three simple tools (get_github_activity, get_site_content, contact_scott) to illustrate tool discovery and invocation within an LLM agent harness using the Model Context Protocol.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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Synaptechlabs
Source: Glama
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Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
6/6 tools missing one or more hints — get_github_activity (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_site_content (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); contact_scott (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +3 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
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