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List watched brands

list_brands
Read-onlyIdempotent

List the brands on the watchlist (companies, tokenized stocks, crypto projects, private companies) with ids, tickers and all-time alert counts, most-targeted first. Use to find a brand id or check whether a brand is covered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax brands to return, most-targeted first.
queryNoOptional substring of name, id, alias or ticker.
categoryNoOptional: sp500, xstock, crypto, private, foreign, consumer, media, finance, sports, stock.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / limit / description
      Added value: +"Max brands to return, most-targeted first."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds value beyond them by disclosing the returned content (ids, tickers, all-time alert counts) and the ordering (most-targeted first), though it says nothing about pagination or how to page past the limit cap.

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?

Two sentences, zero filler: the first front-loads what is returned and in what order, the second front-loads the use case. Nothing is repeated or padded.

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 read-only, zero-required-parameter list tool with full schema coverage and strong annotations, the description covers purpose, use case, return contents and ordering. It lacks pagination/truncation behavior and any note on how results relate to sibling lookup tools, which are the only remaining gaps.

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 limit, query and category are already fully documented in the schema. The description only echoes the 'most-targeted first' ordering that the limit parameter already states, adding no new parameter semantics.

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 and resource ('List the brands on the watchlist') and enumerates what a brand can be (companies, tokenized stocks, crypto projects, private companies) plus the returned fields and sort order. It is unambiguous what the tool does, though it never names a sibling tool to differentiate from search or get_brand_report.

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

Usage Guidelines4/5

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

The second sentence gives concrete when-to-use triggers: finding a brand id or checking whether a brand is covered. There are no exclusions or explicit pointers to alternatives such as check_name or search, so it stops short of the 5-level routing guidance.

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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