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List brands

list_brands
Read-onlyIdempotent

Brands sold on Seduction.lk, optionally filtered by name, with product counts.

Input Schema

NameRequiredDescriptionDefault
nameNoPart of a brand name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered elsewhere. The description's only added behavioral fact is that results carry product counts, which is useful since no output schema exists, but it omits ordering, pagination, and whether all brands are returned.

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 clause with no filler; the scope and the filter are stated before any elaboration. The phrasing is a fragment rather than a complete sentence, which is slightly less clear than it could be, but nothing is wasted.

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-optional-parameter read-only list tool with full schema coverage and annotations, the description covers resource, scope, filtering, and the notable product-count output. Only result ordering and pagination behavior are unaddressed, which is minor at this complexity.

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 coverage is 100% and the single name parameter already documents partial-match semantics ("Part of a brand name"). The description restates the filter as optional and substring-based, adding little beyond the schema, so the baseline 3 applies.

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 resource (brands sold on Seduction.lk), the scope, and an optional filter, so the agent knows it is an enumeration tool. It stops short of distinguishing itself explicitly from the sibling list_categories or search_products, leaving the brands-vs-categories split to be inferred from the noun.

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?

"optionally filtered by name" implies when to supply the filter, but there is no explicit guidance on when to use this tool versus search_products or list_categories. Usage is inferable from the resource name rather than stated.

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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