get_project_details

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

With no annotations, the description carries the full burden. It discloses the matching semantics (case-insensitive, partial) and lists the exact return fields (description, full stack, GitHub repo, live demo link, writeup link if exists). It does not mention error handling or whether a missing project returns null, but for a read-only get operation the disclosed behavior is reasonably transparent.

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 filler. The purpose and matching behavior are front-loaded, and the return fields are listed efficiently. Every sentence adds value.

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?

For a single-parameter read tool with no output schema, the description covers the essential context: matching rules and return content. It omits edge cases (e.g., no match behavior) but that is minor given the simplicity and the fact that the parameter is well-explained. It is sufficiently complete for an agent to invoke correctly.

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 coverage is 0% and the schema only says 'project_name' is a string. The description fully compensates by explaining the parameter's semantics: case-insensitive, partial match allowed, with a concrete example ('sales' matches 'SalesAgent'). This adds substantial meaning beyond the schema.

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 uses a specific verb ('Get') and resource ('full details for a single project'), and clarifies the lookup method (by name, case-insensitive, partial match) with a concrete example. This clearly distinguishes it from sibling tools like list_projects and search_projects_by_stack, which serve different lookup purposes.

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 need full details for a known project name, and the matching behavior (case-insensitive, partial) suggests when it applies. However, it does not explicitly contrast with siblings or state when to use an alternative, such as list_projects for browsing or search_projects_by_stack for filtering by stack. No exclusion or alternative is mentioned.

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