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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds the genuinely unknown behavior: that output is inline-labeled text preserving the original document structure rather than offset/field lists, plus the entity type coverage. No mention of text-size limits or failure modes, which keeps it from a 5.

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 core behavior and the differentiating examples are front-loaded and earn their place. The closing clause ("immediately consumable by ATS field-mapping pipelines... without any offset calculation or post-processing") drifts into marketing framing that could be trimmed.

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?

With no output schema, the description carries the burden of explaining returns and does so well via concrete inline-labeled examples and stated entity coverage. A note on input size limits or entity-type edge cases would make it fully complete for a lightweight two-parameter tool.

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 both parameters (text, subuserid) are already documented, and the description adds only the implicit note that input is plain text rather than a file. The tenant-isolation parameter is never referenced, so the description does not meaningfully extend the schema.

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?

States a specific verb and resource: it annotates already-extracted HR text by wrapping recognized entities in inline XML-style labels. The contrast with sibling extraction tools ("Unlike data extraction tools that produce separate field lists") makes the boundary clear, and the inline examples make the output unmistakable.

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?

Clearly signals the input precondition (already-extracted plain text) and distinguishes the tool from extraction siblings, which routes the agent well. It stops short of an explicit when-to-use/when-not rule naming a specific alternative such as extract_resume_data, so it's clear context rather than full routing guidance.

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