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Get candidate

get_candidate
Read-only

Fetch one candidate summary from the selected Semata workspace. Raw CV content and internal model inputs are not returned.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "workspaceId": "<workspaceId>",
      "candidateId": "<candidateId>"
    },
    "name": "get_candidate"
  }
}

Input Schema

NameRequiredDescriptionDefault
candidateIdYesThe candidate job id, obtained from a screening result.
workspaceIdYesThe workspace id returned by list_workspaces. Use 'personal' for the personal workspace.

Output Schema

NameRequiredDescriptionDefault
codeNo
batchNo
errorNo
candidateNo
workspaceIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is clear. The description adds useful scope by stating that raw CV content and internal model inputs are excluded, but it does not mention permission requirements or error behavior.

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 short sentences with no wasted words. The core action and the key data-exclusion constraint are both 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?

The tool is low-complexity, annotations cover safety, the schema fully documents both parameters, and an output schema exists. The description covers the essential scope and exclusion, though it could mention what happens when the candidate or workspace is not found.

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 description coverage is 100%, and both parameters are fully documented with UUID formats and workspace guidance. The description adds no parameter-level detail beyond what the schema already provides, so baseline 3 is appropriate.

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?

States a specific verb ('Fetch') and resource ('one candidate summary') with workspace scoping. It implicitly distinguishes itself from list_candidates by fetching a single summary, though it does not explicitly name the sibling alternatives.

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: use this when you need a single candidate summary from a selected workspace. There is no explicit guidance on when to use this versus list_candidates or get_candidate_report, nor any stated preconditions.

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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