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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds real behavioral context beyond that: statutory rates and results are derived by the workspace and never sent, unknown fields are refused by name, which tells the agent what will happen if it guesses at field names. It doesn't describe the response shape, but for a static reference tool that is a minor omission.

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?

Front-loaded with the key fact, then a dense enumeration of contents that ends with a useful 'Needs no sign-in' practical note. It is a single long sentence with heavy parenthetical nesting, which is slightly harder to scan than it needs to be, but no sentence is wasted.

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 documentation-style tool with no inputs and no output schema, the description fully sets expectations about what content will come back: field-by-field format, refusal rules with reasons, and two worked examples. An agent knows exactly whether fetching this will answer its question, so completeness is strong, with only the response format itself left implicit.

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?

The tool takes zero parameters, so per the baseline there is nothing to disambiguate and the schema is trivially complete. The description correctly focuses entirely on the content rather than on inputs, which is the right allocation of attention.

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 names a specific resource ('the exact case format add_workspace_cases accepts') and enumerates its scope: tile fields, body-part names, CCP designations, refusal rules, and two complete examples. It is instantly distinguishable from the sibling add_workspace_cases, which is a mutation tool, since this one is clearly a reference/schema resource.

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 phrasing 'The exact case format add_workspace_cases accepts' makes the intended use obvious: consult this before calling add_workspace_cases to learn the accepted payload shape. It also notes 'Needs no sign-in,' removing a common usage blocker. It stops short of an explicit directive like 'call this before add_workspace_cases,' so a 4 rather than a 5.

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