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Ask a Human (Tech & Toast)

Fetch the answer to a ticket

get_answer
Read-onlyIdempotent

Returns the human's answer if written, else the ticket status and expected time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoRequired for tickets created with ask_human; omit for x402 tickets
ticket_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description contributes the genuinely useful non-obvious trait that the call returns status and ETA rather than failing when no answer exists, but says nothing about polling cadence, auth expectations, or result shape.

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 tight sentence with no filler, and the primary return case is front-loaded before the fallback. It is efficient but arguably too terse for a 2-parameter tool with an auth-dependent branch.

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?

There is no output schema, and the description does describe both return branches, so return values are adequately covered. However, it omits the api_key/x402 branching that the schema hints at and gives no guidance on repeat polling, leaving gaps for a tool whose main use is retrieval.

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 50%: ticket_id carries no description anywhere, and the api_key description lives in the schema, not the tool description. The description never mentions either parameter, so it does not compensate for the undocumented ticket_id.

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 resource and outcome: it returns the human's answer for a ticket, and falls back to ticket status plus expected time. This is clear, but it overlaps noticeably with the sibling check_human_status without saying how the two differ.

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?

The if/else phrasing implies this is the polling call to retrieve an answer once a human has replied, but it never states when to prefer it over check_human_status or list_my_tickets. Usage is inferable, not guided.

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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