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Glama

mcp.market gateway

Call a tool through the gateway

call

Run one tool on a listed server. The gateway meters the call, enforces your spend caps, and logs reliability data. F-graded servers are blocked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
serverYes
argumentsNo
max_price_microsNoRefuse if the tool costs more than this

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral disclosure burden, and it does disclose useful traits: metering, spend-cap enforcement, reliability logging, and blocking of F-graded servers. However, it omits other important runtime behaviors such as error handling, return format, authentication, and what happens when a cap is exceeded.

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?

The description is short and front-loaded with the primary action, and the supporting sentences add relevant policy context without excessive detail. The mention of reliability logging is minor but does not bloat the definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and an undocumented nested arguments object, the description is not fully self-sufficient. It fails to mention return/error behavior, required knowledge of server/tool identifiers, and how arguments should be shaped when invoking the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25%, so the description must compensate for the undocumented parameters. It adds some context ('listed server' clarifies the server parameter; spend caps relate to pricing), but it does not explain the arguments object, valid tool names, or the relationship between max_price_micros and the enforced spend caps.

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 uses an active verb ('Run') and clearly names the resource ('one tool on a listed server'), which makes the core action understandable. However, it does not explicitly contrast itself with the sibling tools, so differentiation is left mostly to context.

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 guidance about when to use this tool versus balance, describe, or search, and no prerequisite steps such as discovering valid server names or tool names. The spend-cap and F-grade remarks are policy constraints, not usage direction.

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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Glama MCP Gateway

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