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Aseptway: Houston pharmacy cleanroom and hood certification coordination

Describe a need to Aseptway in words

interpret_requirement

Give Aseptway the buyer's requirement, or a correction or addition to it, in their own words: it is read into a structured requirement (each value says which words it came from), conflicting or unclear facts come back as one question, and words not yet read are kept as written. Pass the requirement (id, token) from the first answer to continue it. Nothing is sent or ordered: send_requirement sends it when the buyer says so. When you already have the fields in structured form, use submit_request instead.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "utterance": "<utterance>"
    },
    "name": "interpret_requirement"
  }
}

Input Schema

NameRequiredDescriptionDefault
turn_idNoYour id for this message: a retry with the same id is applied once
timezoneNoThe buyer's IANA time zone, for reading dates
utteranceYesThe buyer's words, as written
requirementNoThe requirement to continue

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

The annotations mark this as a non-read-only, non-destructive, non-idempotent write, and the description adds real behavioral context beyond them: values carry provenance back to the originating words, conflicts are consolidated into a single clarifying question, unparsed words are retained verbatim, and nothing is sent or ordered. It does not say what happens to accumulated state on failure or how the retained fragments are surfaced, which keeps it short of a 5.

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 paragraph is front-loaded with the core action and its return behavior, and every clause carries information: provenance, clarification, retention, continuation, safety, alternative. It is dense and slightly run-on with stacked parentheticals, but there is no filler to cut.

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

Completeness4/5

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

For a mutation tool with a nested parameter and no output schema, the definition covers what the agent most needs: that this interprets rather than sends, how to continue a requirement, and roughly what comes back (structured values plus at most one question). What the response object actually looks like, and how to recover an interrupted turn, is left unstated.

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

Parameters3/5

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

Schema coverage is 100%, so all four parameters are already documented in the schema, setting the baseline at 3. The description adds one piece of genuine meaning beyond it — that the nested requirement (id, token) is the continuation handle from the prior answer — but says nothing about turn_id (retry de-duplication) or timezone (date reading), which remain schema-only.

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?

The description states a specific verb and resource: it takes the buyer's own words and reads them into a structured requirement. It also scopes itself against two named siblings (send_requirement, submit_request), so an agent can place it without opening any other schema.

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?

It gives explicit routing rules: use it for an initial statement, a correction, or an addition; pass the requirement (id, token) from the first answer to continue; and switch to submit_request when the fields are already structured. The when-not condition is stated, not merely implied.

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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