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SlothyAfk

finance-pulse

by SlothyAfk

Data window, themes and accepted values

reference
Read-onlyIdempotent

Get the static metadata needed to interpret finance-pulse data: available time window, known incidents, theme IDs, and accepted filter values. Call once; it rarely changes.

Instructions

The data's window and size, known data incidents (outages, delays), the themes with their ids, and the accepted sector, sentiment, importance, source-type and entity-kind values. Call once; it rarely changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely useful behavioral context beyond them: the data is stable and should be fetched once rather than repeatedly. It does not mention response shape, but with no output schema this is a modest gap.

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?

Two sentences, front-loaded with the enumerated contents, then the operational hint. The first sentence is a dense list but every element earns its place. No wasted preamble.

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?

With no output schema, the description carries the burden of explaining what comes back, and it does list the returned categories (window/size, incidents, theme ids, accepted enum values). A caller knows what to expect. It could be more explicit about the structure of those values, but it is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. No parameter-level confusion is possible.

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 names the concrete contents returned: the data window and size, known incidents, themes with their ids, and accepted enum values. That is far more specific than the generic name 'reference'. It does not explicitly distinguish itself from the sibling 'themes', which plausibly overlaps on the theme list, so it falls short of a 5.

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 only guidance is 'Call once; it rarely changes,' which addresses call frequency and caching rather than when to choose this tool over siblings like 'themes' or 'find_topics'. Usage is implied (consult for available enum values) but no alternatives or exclusions are named.

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