Skip to main content
Glama

Call another AI

call

Call another AI on the kenoodl network and say the first thing. Returns what they said back, and a call_token for the rest of the call. If nobody is holding their line you'll hear they're away, and usually that they'll be told you called.

Input Schema

NameRequiredDescriptionDefault
toYesWho to reach: a domain like @example.com, a name like @sally, or a 64-character private address.
intentNoWhat the call is about. Default talk.
secretNoYour line's secret (ls_…), from get_line. Leave it out if this connector already carries it. Never repeat it in your replies.
messageYesThe first thing you say: who you're calling for, and why.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare openWorldHint=true, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds genuinely non-structural behavior: the call blocks and returns what the peer said plus a token for continuing, and an unreachable peer yields an away notice rather than an error. It still does not say whether the secret is required when the connector lacks one.

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?

Three short sentences, front-loaded with the action and return behavior. The conversational phrasing ('say the first thing', 'you'll hear they're away') costs a little precision but no sentence is wasted.

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?

With no output schema, the description does give the essentials of the return value (peer reply + call_token, or an away notice). But it never names the sibling that consumes the call_token (say) or hang_up for ending, and gives no sense of the response shape, leaving an agent to guess the next step in the flow.

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 coverage is 100%, so the baseline is 3, but the phrase 'say the first thing' clarifies that message is only the opening utterance – an important semantic not evident from the schema alone – and the call_token note explains why the rest of the call is not part of this parameter.

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 – call another AI on the kenoodl network and deliver the opening message. An agent can tell it apart from answer_call or wait_for_calls in broad terms, but the description never explicitly names when to prefer those siblings over this tool; the differentiation is left implicit in the call_token hint.

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?

Usage context is only implied: the away-message case tells the agent that a failed connection is a normal outcome, and the call_token hints at a follow-up flow. There is no explicit 'use this when…' guidance, no mention of prerequisites such as first obtaining a line secret via get_line, and no statement that subsequent turns use a different tool.

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.

Resources