Skip to main content
Glama

HTTP 402 AI Tollbooth

list_products

List all products, categories, tiers, prices, item counts, and endpoint paths.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / category
      Removed value: -{
      -  "enum": [
      -    "devops",
      -    "apis",
      -    "ml-ai",
      -    "web-frontend",
      -    "databases"
      -  ],
      -  "type": "string"
      -}
    • removedInput schema / properties / limit
      Removed value: -{
      -  "maximum": 50,
      -  "minimum": 1,
      -  "type": "integer"
      -}
    • removedInput schema / properties / query
      Removed value: -{
      -  "maxLength": 200,
      -  "type": "string"
      -}
    • addedInput schema / required
      Added value: +[]
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It partially meets this by stating the returned fields, which implies a read-only catalog read, but it says nothing about pagination, result limits, authentication scope, or whether 'all' really means unscoped.

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 no filler. The trailing enumeration of fields is slightly list-heavy and the phrase 'endpoint paths' is cryptic for a product listing, keeping it just short of a 5.

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 zero-parameter tool with no output schema, the description usefully enumerates the returned fields, which is the main missing piece structured data would normally supply. Only pagination/scope behavior remains uncovered, a minor gap for such a simple read.

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 the baseline of 4 applies; there is nothing for the description to clarify beyond confirming no filtering input is accepted, which 'List all products' implicitly does.

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 gives a specific verb ('List') plus the resource ('products') and enumerates the returned facets (categories, tiers, prices, item counts, endpoint paths). This is enough for an agent to distinguish it from buy_product and preview_product, though it never names those siblings to reinforce the contrast.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, and no alternative is referenced despite three plausible siblings (buy_product, preview_product, list_payment_methods). The browse-the-catalog use case is only weakly implied by the verb 'List'.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.