analyze_project

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

With no annotations provided, the description carries the full burden. It does disclose a key behavioral trait—'store a ProjectProfile'—and the return of project_id, which is useful. Yet it omits details about required inputs, error behavior, authorization needs, or what happens if multiple sources conflict, leaving the agent with an incomplete picture.

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 two sentences with no fluff. The first sentence states what the tool does and the input sources; the second details the output and downstream use. Every clause adds information, making it highly concise and well structured.

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?

The description covers the basic workflow: input sources, storage, and returned project_id for downstream tools. However, it lacks important contextual details such as input constraints, failure modes, and side-effect scope. The presence of an output schema helps, but the description alone is not fully complete for an agent to invoke the tool confidently.

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?

Schema description coverage is 0%, so the description must compensate. It names the four input sources in natural language ('repo/demo/pitch/README'), which maps to repo_url, demo_url, pitch_text, and readme_text. However, it does not clarify whether at least one source is required, how multiple sources are combined, or expected formats, so the compensation is only partial.

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 action ('Analyze a project') and the resource type ('from repo/demo/pitch/README') plus the output ('store a ProjectProfile'). It is specific and matches the input schema, but it does not differentiate from the sibling tool 'derive_project_profile', which likely has a similar purpose.

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 implies usage when you have a repo, demo, pitch, or README to analyze, and it notes the project_id is useful for 'scoring and competitor tools'. However, it provides no explicit guidance on when to choose this tool over 'derive_project_profile' or other alternatives, and no exclusions.

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