analyze_project

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the tool is read-only, what it returns, whether it invokes external services, or any limitations. Saying 'deep analysis' and listing content areas describes purpose, not behavioral traits like side effects, output format, or auth requirements.

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 a single sentence that is concise and front-loads the core purpose. The uppercase 'AND' is stylistically awkward, but every part earns its place and the language support note is useful.

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?

With 15 parameters, no annotations, no output schema, and 25 siblings, the description is under-specified. It does not explain what a caller should expect in the response, how it relates to full_analysis, or what happens beyond producing an analysis. The schema covers parameters well, but the overall tool context is incomplete.

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 100%, so the baseline is 3. The description does not add parameter-level detail, but it does contextualize environment/device/performance params by mentioning those analysis areas. This meets the baseline but does not meaningfully elevate it.

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 identifies a specific resource ('project idea') and a specific action ('deep analysis'), and enumerates the main analysis dimensions (market insights, risks, MVP scope, technical requirements, environment/device/performance). It does not explicitly distinguish itself from siblings like full_analysis, but it is clear enough about its own scope.

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 use for deep project analysis but provides no guidance on when to choose this tool over alternatives such as full_analysis, analyze_scalability, or analyze_compatibility. There are no exclusions, prerequisites, or selection conditions stated.

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