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Glama

Factorial ATS Ops Control Plane

create_feedback

Create a Factorial ATS feedback record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoSet true to run this live change. Ignored when dry_run=true.
dry_runNoPreview the action without sending it.
body_jsonNoJSON request body for documented write operations.
query_jsonNoAdditional documented query parameters, including bracketed filter keys.
path_paramsNoValues for path placeholders such as {id} in a write operation.
headers_jsonNoAdditional request headers for endpoints that require vendor-specific headers.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / properties / confirm
      Added value: +{
      +  "default": false,
      +  "description": "Set true to run this live change. Ignored when dry_run=true.",
      +  "type": "boolean"
      +}
  2. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are present, and the description only states the action without disclosing side effects, required confirmations, or permission needs. It does not mention that this is a live mutation or how dry_run/confirm behave.

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 front-loaded sentence with no redundancy, but given the tool's complexity (6 generic parameters), the extreme brevity omits critical usage context.

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?

With no annotations, no output schema, and a generic parameter schema, the description does not explain return value, required fields, or how to use dry_run/confirm for this specific write operation.

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%, so baseline is 3. The description adds no parameter-specific meaning beyond the generic schema descriptions for body_json, path_params, etc.

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 uses the specific verb 'Create' and identifies the exact resource 'Factorial ATS feedback record', clearly distinguishing it from sibling tools like create_application or create_candidate.

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 is provided on when to use this tool versus alternatives such as update_feedback or list_feedbacks, nor are prerequisites or scenarios mentioned.

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

C2.8/5.0
Disambiguation5/5

Each get/list tool targets a distinct entity (answers, applications, candidates, etc.), and the generic api_request is clearly an escape hatch for undocumented endpoints rather than an overlapping tool. The singular/plural lists are unambiguous.

Naming Consistency4/5

Tools predominantly follow a consistent verb_noun snake_case pattern (create_x, get_x, list_xs, update_x, delete_x). Two outliers exist: api_request (noun_noun) and get_control_plane_capabilities (not a resource CRUD), but they are minor.

Tool Count2/5

At 39 tools, the server is heavily over-populated. Nearly every entity has both a get and list tool, and many CRUD combinations exist, but the count exceeds what is typically needed for an MCP server and could overwhelm agents.

Completeness4/5

The read surface is comprehensive with get/list for 13 entities, and write coverage for core resources (candidates, applications, feedback, job postings, webhooks). Missing delete operations and some create/update limits are acceptable for an ops control plane, though a direct update_application_phase would fill a gap.

Resources