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

With no annotations, the description carries the full burden for behavioral disclosure. It describes what information the call reports, but it does not mention whether the operation is read-only, what authentication or API key scoping is required, error behavior, or response shape.

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, compact sentence that front-loads the resource and then lists the reported fields. There is no filler or redundant restatement of the tool name.

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?

Although the output fields are useful, an agent still lacks critical invocation context: the meaning of slug/days/resolution, any usage guidance, and any annotation-derived safety or side-effect information. This is not enough for a four-parameter tool with an empty schema coverage and no output schema.

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 0%, so the description must explain the parameters, but it only echoes api_key as the subject and says nothing about slug, days, or resolution. The output-field list provides some context for the tool overall but does not map to any input parameter's meaning.

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 identifies the resource (an api_key's entitlement) and enumerates the returned data: tier, credit quota, used, remaining, projected request cost, and reset date. It is clear enough to distinguish from the sibling tools, though it expresses the action implicitly rather than with an explicit verb.

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?

There is no guidance on when to use get_entitlement versus any alternative, and no mention of prerequisites or typical query context. An agent can infer the basic use case from the name and fields, but the description never states it or excludes other tools.

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