OpenCollab MCP

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety and idempotency profile. The description adds value by specifying what metrics are compared (stars, PR merge rate, activity) and that it provides a recommendation, which are useful behavioral details beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is perfectly concise with two sentences that each earn their place: the first establishes the purpose and scope, the second specifies the outputs. There's zero wasted language, and the information is front-loaded appropriately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that annotations cover safety/idempotency, there's an output schema (so return values don't need explanation in the description), and the description clearly explains what the tool does and what metrics it compares, this is complete for a comparison tool. The description provides exactly what's needed beyond the structured data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage (the schema has no descriptions for the parameters), the description carries the full burden of explaining parameter meaning. While it doesn't explicitly name the four required parameters (owner_a, repo_a, owner_b, repo_b), it clearly states that it compares 'two GitHub repositories,' which implicitly defines what inputs are needed. This provides good semantic context despite not listing parameters explicitly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('compare two GitHub repositories side-by-side') and the purpose ('for contributor-friendliness'), distinguishing it from sibling tools like 'opencollab_repo_health' or 'opencollab_similar_repos' which have different analytical focuses. It explicitly mentions the comparative nature and the specific evaluation criteria.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool (when comparing repositories for contributor-friendliness), but doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools. The context is sufficient for an agent to understand the primary use case without explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.