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parse_dashboard_first_mention

Read-onlyIdempotent

Read the brand's first-mention quote and answer key without marking it seen or publishing anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandSlugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
dataAsOfNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "data": {},
      +    "dataAsOf": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "data"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description still adds specific, useful behavioral detail that generic read-only hints do not: this call will not mark the mention as seen and will not publish anything, clarifying the exact side effects withheld.

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?

A single front-loaded sentence with no wasted words; the core action leads and the non-side-effect constraint follows compactly.

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?

An output schema exists, so return values need no explanation, and the single self-descriptive parameter needs little elaboration. The description is adequate for a simple read tool, with only minor gaps around parameter format and sibling selection.

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?

There is a single parameter (brandSlug) with 0% schema description coverage, so the description technically carries the burden. The name is self-explanatory and refers to the same brand concept mentioned in the description, but no explicit semantics or format are given, leaving it at the baseline minimum.

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 states a specific verb (Read) and resource (the brand's first-mention quote and answer key), so the agent knows exactly what data is retrieved. It doesn't explicitly contrast itself against the many sibling parse_dashboard_* tools, but the 'first-mention' scope is distinctive enough to be actionable.

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 phrase 'without marking it seen or publishing anything' implies this is the non-mutating read that should be chosen when you don't want side effects, hinting at an alternative that does mark it seen. However, no sibling or condition is named explicitly, so the when-to-use guidance is only implied.

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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