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100Hires - AI ATS & Recruitment Software

hires_submit_career_application

Submit a career site application: creates the candidate and runs the pipeline automation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
phoneNo
job_idYes
resumeNo
sourceNoSource identifier
answersNoForm answer objects
last_nameYes
first_nameYes
company_slugYes
linkedin_urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed14 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / answers / anyOf
      Previous value: -[
      -  {
      -    "items": {
      -      "additionalProperties": {},
      -      "type": "object"
      -    },
      -    "type": "array"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]New value: +[
      +  {
      +    "items": {
      +      "type": "object"
      +    },
      +    "type": "array"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • changedInput schema / properties / answers / description
      Previous value: -"Array of form answer objects"New value: +"Form answer objects"
    • removedInput schema / properties / company_slug / description
      Removed value: -"Company slug identifying the career site"
    • removedInput schema / properties / email / description
      Removed value: -"Applicant email address"
    • removedInput schema / properties / first_name / description
      Removed value: -"Applicant first name"
    • removedInput schema / properties / job_id / description
      Removed value: -"Job ID to apply to"
    • removedInput schema / properties / last_name / description
      Removed value: -"Applicant last name"
    • removedInput schema / properties / linkedin_url / description
      Removed value: -"Applicant LinkedIn profile URL"
    • removedInput schema / properties / phone / description
      Removed value: -"Applicant phone number"
    • changedInput schema / properties / resume / anyOf
      Previous value: -[
      -  {
      -    "additionalProperties": false,
      -    "properties": {
      -      "data": {
      -        "description": "Base64-encoded file content",
      -        "type": "string"
      -      },
      -      "file_name": {
      -        "description": "Resume file name (e.g. resume.pdf)",
      -        "type": "string"
      -      },
      -      "mime_type": {
      -        "description": "Resume MIME type (e.g. application/pdf)",
      -        "type": "string"
      -      }
      -    },
      -    "required": [
      -      "data",
      -      "file_name",
      -      "mime_type"
      -    ],
      -    "type": "object"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]New value: +[
      +  {
      +    "properties": {
      +      "data": {
      +        "description": "Base64 file content",
      +        "type": "string"
      +      },
      +      "file_name": {
      +        "type": "string"
      +      },
      +      "mime_type": {
      +        "description": "e.g. application/pdf",
      +        "type": "string"
      +      }
      +    },
      +    "required": [
      +      "data",
      +      "file_name",
      +      "mime_type"
      +    ],
      +    "type": "object"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • removedInput schema / properties / resume / description
      Removed value: -"Resume file upload (base64 encoded)"
    • changedInput schema / properties / source / description
      Previous value: -"Application source identifier"New value: +"Source identifier"
  2. First observed

TDQS

B3.1/5.0
Behavior4/5

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

The description discloses that the tool creates a candidate and runs pipeline automation, which adds behavioral context beyond the annotations (readOnlyHint=false, destructiveHint=false). It clearly indicates side effects without contradicting annotations. However, it does not elaborate on the details of the pipeline automation or potential irreversible consequences, so it is not exhaustive.

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?

The description is a single, concise sentence that front-loads the primary action. It is free of redundancy and easy to parse. However, given the tool's complexity (10 parameters, multiple roles), a bit more detail might be warranted, but as a short description it is appropriately structured.

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

Completeness2/5

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

The description is incomplete for an agent to use the tool correctly. It does not explain the purpose of parameters like resume, answers, source, or linkedin_url, nor does it describe what 'pipeline automation' entails. With no output schema and low schema coverage, the description should provide more context to ensure correct invocation.

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

Parameters2/5

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

The description offers no explanation of the parameters. With schema description coverage at only 20%, the agent is left to infer the meaning of key required fields like company_slug, job_id, first_name, last_name, and email from the schema, which itself lacks descriptions for most. The description does not compensate for this low coverage.

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 states a clear action ('Submit a career site application') and specifies the outcome ('creates the candidate and runs the pipeline automation'). It is specific enough to indicate the tool's scope, but it does not explicitly contrast with similar sibling tools like hires_create_application or hires_create_candidate, leaving some ambiguity about exact boundaries.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It only implies that it is for career site submissions, but there is no mention of scenarios to avoid or when to prefer a different tool. This is a significant gap given the large number of sibling tools.

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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