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

With no annotations provided, the description carries the full burden of behavioral disclosure. It accurately frames the operation as a retrieval ('Returns') and specifies the keys of the response (role, year, impact, description, highlights, stack), making the outcome predictable. It does not mention behavior for nonexistent slugs or rate limits, but for a simple read-only getter these omissions are minor.

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 concise sentences with no filler. The first sentence front-loads the action and scope and lists the reply fields; the second gives the only required dependency. Every word adds value, and the structure allows rapid parsing.

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?

This is a single-parameter getter with no output schema, and the description fully covers what an agent needs to invoke it correctly: the slug source (list_projects) and the exact set of fields returned. There is no pagination, nested objects, or side effects. The description is complete for normal use despite having no annotations.

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%, and the slug parameter's schema description already states it is 'The project slug, as returned by list_projects.' The tool description repeats this dependency with 'Get slugs from list_projects', which reinforces but does not add new semantic meaning beyond the schema. Therefore the baseline 3 is appropriate.

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 states a specific verb ('Returns') and a specific resource ('full case study for one project by slug'), and enumerates the exact fields (role, year, impact, description, highlights, stack). It also distinguishes itself from list_projects by scoping to a single project's detail. This is clearly differentiable from sibling tools like get_post or list_projects.

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 by saying 'Get slugs from list_projects', which tells the agent exactly how to obtain the required parameter and implies the workflow of listing projects first. It does however not explicitly state when not to use this tool or contrast with other siblings like get_post or search_ssite, so it stops short of a 5.

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