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keywordise

Tailor my CV for one job (preview only)

preview_tailored_cv
Read-onlyIdempotent

Rewrite this account's CV for one vacancy the way Keywordise would send it: headline, summary, the roles selected for this job with rewritten bullets, curated skills and a cover letter, every segment labelled tailored, verbatim or pinned. Nothing is sent. A paid model call, limited to 20 per hour; the same billing gate as applying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesA job_id from list_matching_jobs or list_my_applications.

TDQS

A4.2/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds valuable contextual behavior: it is a paid model call, limited to 20 per hour, and has the same billing gate as applying. It also clarifies that every segment is labelled tailored, verbatim, or pinned, which describes the output behavior beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences with no filler: the first describes the tool's scope and output components, the second covers safety and cost constraints. Every sentence contributes essential information and the key context is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter preview tool with rich annotations, the description is nearly complete. It covers purpose, output content, non-sending behavior, and rate/billing limits. The only minor gap is that it doesn't explicitly describe the exact return format or structure beyond naming the segments, but the description supplies enough for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the only parameter job_id is already documented with its source in the schema. The description only implicitly reinforces that the CV is tailored 'for one vacancy', which adds no real semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Rewrite this account's CV for one vacancy' and enumerates exactly what the preview contains (headline, summary, rewritten bullets, curated skills, cover letter). 'Nothing is sent' and 'preview only' clearly distinguish it from sending/apply tools even without naming a sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: the tool previews what Keywordise would send, and 'Nothing is sent' signals it is a dry-run before applying. However, it does not explicitly name alternatives or provide clear when-to-use/when-not-to-use guidance relative to sibling tools like start_apply_run or get_my_cv_pdf.

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

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TDQS

A3.6/5.0
Disambiguation4/5

Tool purposes are generally distinct and well-described, but a few clusters overlap in function: answer_screening_question vs save_answer both write to the answer book, get_my_profile vs get_account both report plan status, and the CV preview/sent-CV/base-CV tools could be confused. The detailed descriptions mitigate most misselection, so this is only a minor issue.

Naming Consistency4/5

The set almost uniformly uses snake_case verb_noun names like list_, get_, update_, create_, delete_, and start_/stop_. Minor deviations such as login, describe_what_i_want, and the get_my_* vs list_* alternation prevent a perfect score, but the overall pattern is predictable and readable.

Tool Count2/5

49 tools is far above the 25+ threshold and will burden agent tool selection even though many are legitimate single-purpose operations. Several groups could be consolidated—billing links, API-key management, and the CV PDF family—without hurting clarity.

Completeness4/5

The surface covers the full lifecycle: account creation/auth, profile and CV, targeting, matching, apply runs, screening answers, tracking, billing, export, and deletion. Minor gaps remain, such as no application-level detail/withdrawal endpoint and no direct way to save a parsed CV without re-uploading, but agents can work around them.

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