Skip to main content
Glama
JRM-Global

getonbrd-mcp

by JRM-Global

List categories

list_categories

Fetch paginated job categories with unique IDs, enabling filtering of LATAM tech job searches by category.

Instructions

List all job categories with their ids (paginated; there are ~6 pages by default page size).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
per_pageNo
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It does disclose the paginated nature and rough default page count, which is useful, but it does not mention response shape, ordering, error behavior, or whether the operation has any side effects.

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 entire description is one efficient sentence that front-loads the core purpose and adds the key limitation inline. Every word contributes and there is no filler or repetition of the title.

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 simple paginated list operation with only two self-explanatory pagination parameters and no output schema, the description is reasonably complete. It gives the main purpose, the payload clue (IDs), and the pagination behavior. It only lacks minor detail about the exact response envelope and potential edge cases.

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 0%, so the description must compensate. It adds meaning by explaining pagination and the approximate number of pages, indicating that page and per_page control a bounded paged listing, but it does not clarify how pages are indexed, when pagination should be used, or what each category object contains.

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 tool lists all job categories and includes their IDs, which is a specific verb+resource combination. It does not explicitly distinguish itself from the sibling job-search tools, though the category focus makes the distinction reasonably clear.

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?

The pagination notice implies the agent should expect paged results and likely needs to iterate pages to get all categories, but there is no explicit guidance about when to choose this over sibling tools or how it supports jobs_by_category. Usage context is implied rather than stated.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JRM-Global/getonbrd-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server