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Sense2 Promotional Products

get_brand

Read-only

Get full brand case-study details by slug (story, signature, logo tagline, industries)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_brand"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesBrand slug (e.g. 'porsche', 'google')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description contributes the shape of the returned payload (story, signature, logo tagline, industries), which matters because there is no output schema, but it says nothing about behavior for an unknown slug (error vs empty result).

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?

A single front-loaded sentence with the verb, resource, and key stated first, followed by a compact parenthetical enumerating returned fields. Nothing is redundant, though the parenthetical reads as a bare list rather than integrated prose.

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 one-parameter, read-only lookup with no output schema, the description does the essential work of naming the fields a caller receives. It falls short only on edge-case behavior and on distinguishing itself from the sibling listing tools.

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% and the schema already supplies the slug format plus concrete examples ('porsche', 'google'). The description adds only the word 'slug' as the lookup key, which is a baseline-level contribution over the schema.

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?

States a specific verb+resource ('Get full brand case-study details') and scopes it to a single lookup 'by slug', which implicitly separates it from the list-style sibling get_brands. It does not explicitly name get_brands or any alternative, so the distinction is inferred rather than stated.

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?

Usage is only implied: the phrase 'by slug' signals that this is a single-record lookup requiring a known identifier. There is no explicit when-to-use/when-not guidance and no named alternative for fetching lists of brands instead.

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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