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

No annotations are supplied, so the description carries the full disclosure burden. It does not state that this is a read-only scoring operation with no side effects, does not mention the x402 payment step implied by the payment_signature parameter, and does not describe the shape of the score output. For a tool with zero annotation coverage, this is a substantial 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 with no filler; the scale and rubric appear immediately. It is efficient, though arguably undersized given four parameters and an undocumented payment flow.

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?

The core semantic (what is scored and on what scale) is covered, and no output schema exists so return values need not be described. However, a paid invocation path (payment_signature), an optional job-description tailoring input, and the meaning of the output 'format' parameter are all left unexplained, which matters for an agent assembling the call.

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%, so every parameter is already documented in the schema and the baseline is 3. The description's rubric list does not clarify any parameter — it never explains that 'format' selects the output representation or that 'job_description' tailors scoring.

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 verb ('Scores'), resource ('a resume'), output scale (0-4), and the rubric dimensions (impact, parseability, executive framing, contact). This is far more specific than a generic 'evaluate resume'. Sibling tools (agent_readiness, btc_regime, echo_probe, x402_preflight) are unrelated utilities, so explicit differentiation is unnecessary and its absence costs little.

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 call this versus not, no mention that job_description is optional, and no mention of prerequisites such as payment. An agent learns nothing about the conditions under which scoring is appropriate or what to do if the resume is missing.

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