Teamtailor Ops Control Plane

by app.vercel.ats-ops-control-plane-gateway

get_location

Get one location. Locations for office/region slicing.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`id`	Yes	location ID.
`include`	No
`query_json`	No	Additional documented query parameters, including bracketed filter keys.
`path_params`	No	Values for path placeholders such as {id} in a write operation.
`detail_profile`	No	operational (default) returns a compact recruiting-ops projection with names, prose, and other personal fields omitted; pass full to include the raw API payload with those fields.	operational

Schema Changelog

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

Changed4 schema fields changedJun 7, 2026

changedInput schema / properties / detail_profile / default
```
Previous value: -"full"New value: +"operational"
```

changedInput schema / properties / detail_profile / description

Previous value: -"full returns raw API payload; operational returns a compact recruiting-ops projection."New value: +"operational (default) returns a compact recruiting-ops projection with names, prose, and other personal fields omitted; pass full to include the raw API payload with those fields."

addedInput schema / properties / path_params

Added value: +{
+  "additionalProperties": {
+    "type": "string"
+  },
+  "description": "Values for path placeholders such as {id} in a write operation.",
+  "type": "object"
+}

removedInput schema / properties / reason

Removed value: -{
-  "description": "Required when detail_profile=full.",
-  "maxLength": 500,
-  "minLength": 12,
-  "type": "string"
-}

First observedJun 5, 2026

TDQS

A3.9/5.0

Behavior3/5

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

No annotations are provided, so the description carries the burden. The verb 'get' strongly implies a read-only operation, and the phrase 'for office/region slicing' adds purpose. However, it does not explicitly state read-only nature, response format, or any side effects, leaving some behavior implicit.

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 exactly two short sentences, with no fluff or repetition. It front-loads the core action and then adds context, making it highly efficient.

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

Completeness3/5

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

Given no output schema and no annotations, the description is minimal but adequate for a simple read tool. It indicates the resource and use case, but lacks details about return values or filtering behavior. The schema provides parameter details, but the description could offer more context on the response shape.

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 80% (4 of 5 parameters have descriptions), so the baseline is 3. The description itself does not add meaning beyond 'Get one location,' which indirectly maps to the required 'id' parameter. The 'include' parameter lacks a schema description, and the description does not compensate.

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 clearly states the verb and resource: 'Get one location.' The second sentence, 'Locations for office/region slicing,' adds context and differentiates it from list_locations, which would be the sibling for fetching multiple locations. This is specific and non-tautological.

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

Usage Guidelines4/5

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

The description implies when to use the tool: when you need a single location by ID or for office/region slicing. It does not explicitly name alternatives or exclusions, but the context is clear enough for an agent to distinguish it from listing tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Teamtailor Ops Control Plane tools Inspect

Try in Browser

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.8/5.0

Disambiguation4/5

Most tools have clearly distinct purposes due to specific resource names and detailed descriptions. However, the large number of similar get/list pairs (e.g., get_activity, get_answer) could cause an agent to misselect without careful reading, slightly reducing clarity.

Naming Consistency5/5

The naming follows a strict and predictable verb_noun pattern (list_/get_/create_/update_) using snake_case throughout. The only outlier is 'api_request', but it is a generic tool and does not break the overall pattern.

Tool Count3/5

With 62 tools, the set is large but arguably justified by the breadth of the Teamtailor domain (candidates, jobs, applications, interviews, notes, etc.). Still, it exceeds the typical 3-15 range for high coherence, making navigation heavy for agents.

Completeness3/5

The tool set provides comprehensive read access (get/list) for most entities, but lacks delete operations entirely and has limited update coverage (only candidate, job, job_application). The 'api_request' tool can compensate, but the surface has notable gaps in mutation capabilities.

Resources

Need Help?