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

Annotations already cover the safety profile (read-only, idempotent, non-destructive, closed-world), and the description still adds substantial context beyond them: it returns errors, warnings and detected-secret paths, the value is detected after percent/base64/hex decoding, the fragment link is capped at 16 KB and is unencrypted, and the server neither stores nor logs the profile. The best-effort caveat and the 'no submit' statement are exactly the behavioral disclosures an agent needs.

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 purpose and the outcome (errors, warnings, detected fields, sign-in URL, finishUrl) are front-loaded, which is good. However, the body is a dense run-on block with visible repetition ('reviews it and submits' appears twice) and several nested caveats crammed into single sentences, making it harder to scan than it needs to be.

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 validation tool with an output schema, this covers everything an agent needs to decide, call and interpret correctly: what is checked, what is returned, when the link is withheld, and the security properties of the returned fragment. Nothing material is left to inference.

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 the schema already explains that the single parameter accepts either the JSON object or its JSON text as pasted into the import panel, including the 64 KB limit. The description's framing ('same validator the import panel uses') reinforces that nuance but does not add format or syntax detail beyond the schema. 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 gives a specific verb and resource: checking an agentcv.team.v1 profile with the same validator the registration import panel uses, plus secret/personal-data detection. That is unmistakably distinct from the fetch/list siblings (get_team, search_teams, list_platforms). It never names a sibling or explicitly contrasts itself, so it stops short of a 5.

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 context is clear: this is the pre-import check that produces a link a person opens, reviews and submits, and it explicitly states the condition under which no link is returned (any value that looks like a secret, personal data, local path or credential-bearing link). No alternatives among siblings are named, so an agent must infer whether to call get_registration_schema first.

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