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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by stating what the response contains (architecture, deliverables, impact metrics), which matters because no output schema exists; it does not say what happens with an unknown or malformed slug, which is the remaining gap.

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?

A single front-loaded sentence that identifies the actor, action, scope, and payload contents with no filler or repetition. Nothing in it could be removed without losing information.

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 one-parameter read tool with full annotation coverage, the description is nearly sufficient: it says what is retrieved and roughly what comes back, standing in for the absent output schema. The only meaningful omission is failure behavior for an invalid slug and any hint on how to discover valid slugs.

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?

There is only one parameter and schema coverage is 100%, with the schema itself supplying example slugs (arbor, morgenlevering, jobqualified). The description restates the concept as "company slug" and adds nothing about format, case sensitivity, or whether discovery of valid slugs is needed first, so baseline 3 applies.

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 ("Retrieves") and a specific resource (a client case study identified by company slug), and it enumerates the payload contents (architecture, technical deliverables, impact metrics). That is enough to distinguish it from listing-style siblings such as get_portfolio, though it never names a sibling explicitly.

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?

Usage is only implied: an agent can infer this is the deep-dive tool for one known case study, versus get_portfolio which presumably enumerates them. There is no explicit when-to-use statement, no precondition for obtaining the slug, and no named alternative for browsing or fuzzy lookup.

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