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100Hires - AI ATS & Recruitment Software

hires_disqualify_candidate

Destructive

Reject all active applications of a candidate; returns the affected application ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCandidate id or alias
reasonsNoRejection reason ids from hires_list_rejection_reasons

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / id / description
      Previous value: -"Candidate ID (integer) or alias (string)."New value: +"Candidate id or alias"
    • changedInput schema / properties / reasons / description
      Previous value: -"Array of rejection reason IDs from GET /taxonomy/rejection-reasons."New value: +"Rejection reason ids from hires_list_rejection_reasons"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare destructiveHint: true)Skip. The description adds that it affects all active applications and returns affected ids, which clarifies side effects, but it doesn't mention reversibility, permissions, or impact on related entities.

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?

The description is a single front-loaded sentence: action first, object second, return value third. No redundant phrasing or filler.

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 two-parameter tool with a direct description, the essential semantics are clear: what it doesaint, what it operates on, and what it returns. It lacks explicit edge-case guidance (e.g., what if candidate has no active applications) but this is minor given the simple interface.

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%, so the description doesn't need to repeat parameter meanings. It does add the scope clarification ('all active applications') and return value, which go slightly beyond the bare schema.

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

Purpose4/5

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

The description clearly states the action (reject), the resource (active applications of a candidate), and the scope (all active). It distinguishes this from individual rejection tools like hires_reject_application, though it does not explicitly name alternatives.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as hires_reject_application or hires_batch_reject_applications. The intended use case must be inferred from the name and description.

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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