Skip to main content
Glama
Newscatcher

CatchAll (by NewsCatcher)

Official

pull_job_csv

Download job results as a CSV file for offline analysis or spreadsheet export.

Instructions

Download a job's results as a CSV file.

Use when:

  • You want the full job output as a CSV for offline analysis or export.

  • Prefer this over pull_results when the consumer needs spreadsheet/CSV format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job ID to download as CSV.
api_keyNoCatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior2/5

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

No annotations exist, so the description bears full responsibility for behavioral disclosure. It only states the action without mentioning safety (read-only), error handling, permissions, or rate limits, which is insufficient for a tool with no annotations.

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 very concise: one sentence for the main action, followed by a bulleted list of usage criteria. No redundant information, and the key point is 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?

Given the tool's simplicity (2 params, output schema exists), the description covers the core functionality and usage context. It contrasts with a sibling, but lacks behavioral details that would make it fully complete for an agent with zero annotations.

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 'full job output as a CSV' but does not enhance parameter meaning beyond what the schema already provides (job_id and api_key descriptions are clear).

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 tool downloads a job's results as a CSV file, with a specific verb ('Download') and resource ('job's results'). It also differentiates from the sibling tool `pull_results` by mentioning the CSV format preference.

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 provides explicit 'Use when' conditions (offline analysis/export, preferring CSV over `pull_results`). However, it does not include when not to use or other alternatives beyond `pull_results`.

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