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

With no annotations provided, the description carries the full behavioral burden and does so well: it discloses the anonymized shortlist fields, the absence of PII, the contact_email side effect, the minimum strong-match threshold, and the automatic publishing/applicant-forwarding behavior when publish_if_no_match is used.

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 opening sentence front-loads the tool's purpose and the rest is dense but relevant. It is a single long paragraph, which makes it slightly harder to scan, but every sentence contributes useful workflow or side-effect information.

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 nine-parameter tool with no output schema and no annotations, the description covers the return shape, privacy behavior, email side effect, conditional publishing path, and scam-check behavior. An agent has enough context to invoke it correctly and to know when a follow-up confirmation call is needed.

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 all nine parameters are already documented in the schema. The description reinforces the role of contact_email and the confirmation condition for publish_if_no_match, but it does not add materially new syntax or meaning beyond the schema baseline.

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 states a specific employer action: submit a hiring brief to get an anonymized shortlist from the Loker Dollar pool, with a fallback to publish the role. This is clearly distinguishable from adjacent tools like post_job or match_candidates because it describes a one-call end-to-end hiring flow and its conditional listing behavior.

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?

It gives explicit workflow guidance for the no-match case: ask the user before retrying with publish_if_no_match=true, and explains that the listing then goes live after the scam check. It does not explicitly compare when to use hire versus siblings such as match_candidates or talent_search, which keeps it from a 5.

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