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Check resume bullets

check_bullets
Read-onlyIdempotent

Give each resume bullet a score, a verdict and specific fixes with stable codes: weak openers, missing scale or result, numbers that show neither, hard-to-believe claims, first person, vague claims. The same rules and severities as check_resume. Up to 30 bullets of up to 600 characters each; blank items are skipped and reported by index. Rules version 2026-10-19.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bulletsYesOne resume bullet per item, at most 30.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description adds real behavioral context: input caps (30 bullets x 600 chars), that blank items are skipped and reported by index, and a dated rules version for reproducibility. It does not state latency or any failure behavior, keeping it short of 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.

Conciseness4/5

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

A single dense paragraph, front-loaded with the output contract, then limits, then version. Every clause carries information, though the mid-sentence enumeration of defect categories is somewhat list-like and could be tightened.

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?

With no output schema, the description carries the burden of describing returns, and it does name the three return elements (score, verdict, fixes) plus stable codes for categorization. What is missing is the code list itself and the verdict scale, so an agent knows roughly what comes back but not its vocabulary.

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

Parameters4/5

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

Schema coverage is 100% and the single parameter is fully documented, so the baseline is 3. The description goes beyond the schema by clarifying that blank items are accepted-but-skipped and reported by index, which is behavior the schema's maxLength/maxItems cannot express.

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?

States a concrete verb and resource ('Give each resume bullet a score, a verdict and specific fixes') plus the exact output shape (stable codes). It distinguishes itself from check_resume by scoping to individual bullets and explicitly claiming the same rule set, so an agent can route between the two.

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?

The mention of 'the same rules and severities as check_resume' plus the 30-bullet ceiling implies this is the batch/individual-bullet variant of the resume check, but there is no explicit when-to-use statement. Neither check_resume nor improve_bullet is named as an alternative with a selection condition.

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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