Skip to main content
Glama

call_tool

Run a tool found via search_tools by name, passing its arguments. Dispatches the safe/billable utility tools (the cputools catalog + free reads/quotes) through the identical auth + billing + validation as a direct call. Consequential tools (account, money, credential, messaging — e.g. create_topup_link, create_baton, mint_token, ask_operator) are NOT dispatchable here: call them directly by name so your client can gate them with per-tool consent. FREE to invoke (the wrapped tool bills itself). Example: call_tool {name:"pdf_merge", arguments:{files:[{inputKey:""},{inputKey:""}]}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
argumentsNo

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool dispatches through identical auth, billing, and validation as a direct call, and lists non-dispatchable tools. However, it does not mention error handling, rate limits, or response format, which would improve transparency.

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?

Description is two sentences plus an example, very concise. Front-loaded with the main purpose, no wasted words. Every sentence adds value.

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

Completeness3/5

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

Given no output schema, the description does not explain the return value (presumably the result of the called tool). Also missing error handling notes. However, the tool is simple and the essential information is present.

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?

Schema description coverage is 0%, so description must compensate. It explains that 'name' should be a tool from search_tools, and 'arguments' are the wrapped tool's arguments. An example is provided. This adds meaning beyond the schema's type definitions, though the exact structure of arguments is left to the wrapped tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool runs a tool found via search_tools by name and passes its arguments. It distinguishes itself by specifying which tools are dispatchable (safe/billable utility) and which are not (consequential), with examples. This provides a specific verb+resource and sibling differentiation.

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

Usage Guidelines5/5

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

Explicitly tells when to use this tool (for utility tools from search_tools) and when not to (consequential tools like create_topup_link, etc., should be called directly). Also states that invocation is free (the wrapped tool bills itself). Provides clear usage context and alternatives.

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.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct action and resource, such as baton operations, agent messaging, contracts, and account management. There is no overlap in functionality, making it clear which tool to use for each task.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case (e.g., append_to_baton, create_baton, message_agent). The verbs are descriptive and uniform, aiding predictability.

Tool Count5/5

With 14 tools, the server covers its domain (agent coordination, batons, contracts, tool discovery) without being overbearing. The count is well-scoped for a platform offering a variety of operations.

Completeness3/5

The tool set covers core operations like creating, reading, and appending to batons, as well as messaging and contracts. However, it lacks list or delete operations for batons and contracts, which are notable gaps for a complete lifecycle.

Resources