sentence
Closed tam-mlm/1 sentence. Unknown tokens are refused. The reply is the next legal token. End closes it. This does not crawl the desk.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tokens | Yes |
Closed tam-mlm/1 sentence. Unknown tokens are refused. The reply is the next legal token. End closes it. This does not crawl the desk.
| Name | Required | Description | Default |
|---|---|---|---|
| tokens | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose real behavioral traits: unknown tokens trigger refusal, the response is the next legal token, and 'End' terminates the session. However, it omits statefulness, error payloads, rate limits, and the cryptic 'does not crawl the desk' conveys nothing actionable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is short and the operational rules are front-loaded, which is good. But 'This does not crawl the desk' is an unintelligible sentence that consumes space without earning it, and the opening jargon is not self-explanatory.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-annotation, no-output-schema tool the description at least tells the agent the call returns the next legal token and how to end the session. It is nonetheless incomplete: the input token/value structure and the overall operating context remain unexplained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is one required parameter (tokens) at 0% schema description coverage, and the description never explains what a token object, its 'token' field, or its 'value' field mean. With a non-trivial nested input and no schema documentation, the description should compensate but does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The phrase 'Closed tam-mlm/1 sentence' is opaque domain jargon that does not tell an agent what the tool does or what resource it operates on. 'The reply is the next legal token' hints at token-by-token generation, but the purpose remains inferential rather than stated, and it is not differentiated from siblings like talk or exchange.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description never says when to use this tool versus the siblings (exchange, lounge-in, ping, talk). It gives only in-band behaviors ('unknown tokens are refused', 'End closes it'), which describe mechanics during a call rather than selection 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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