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CatchAll (by NewsCatcher)

Pull Monitor Csv

pull_monitor_csv

Download the latest monitor run's results as a CSV file.

Use when:

  • You want the most recent monitor run output as a CSV for offline analysis or export.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoCatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.
monitor_idYesThe monitor ID to download results for.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. It states that the tool returns the latest monitor run and formats it as CSV, implying a read-only download, but it does not mention what happens when no runs exist, whether results are filtered by date, or any auth/rate-limit behavior. This is adequate but lacks richer context.

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 first sentence states the action and outcome succinctly, and the bullets add only necessary usage context. Every sentence earns its place; there is no redundancy or filler.

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 simple, has an output schema, and the description covers the CSV format and when to select it over a sibling. Missing details such as empty-result behavior and explicit read-only confirmation are minor, but given the absence of annotations, the description is strong but not maximally complete.

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 the schema already documents both `monitor_id` and `api_key`. The description does not add parameter-level meaning beyond the implied 'latest run for the given monitor' context, so the baseline of 3 is appropriate.

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 opens with a specific verb ('Download') and identifies both the resource ('latest monitor run's results') and the output format ('CSV file'). It also differentiates the tool from `pull_monitor_results` by explicitly framing it as the CSV-format variant, making the purpose unmistakable.

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

Usage Guidelines5/5

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

The 'Use when' bullets provide explicit conditions: most recent monitor run output, CSV format, offline analysis/export. It also directly instructs to prefer this over `pull_monitor_results` when the consumer needs spreadsheet/CSV format, giving clear routing guidance versus an alternative.

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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