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Prism by Parad1gm: Contract Deadlines and Critical Dates

Tell the Prism team something

prism_send_feedback

Sends a message to the people who build Prism and returns a confirmation. Call it when your user corrects a date, deadline or clause Prism returned (kind wrong_result, with the contractId and what they say is right); when your user says a document type is not supported or asks for a feature (kind missing); or when your user says what they would pay per contract, or that the price is what stops them (kind price, with wouldPayUsd). Send it only when one of those happened, not after every result. Say what happened in plain words and leave out the contract text and your user's personal details. Free: never spends credits. A person reads every message, but there is no reply to the agent and no promise of a fix, so do not promise your user one. When the team reproduces a wrong result, the account gets 10 free credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYeswrong_result: your user corrects a date, consequence or quote. missing: a document type is not supported, a feature is asked for, or something your user needed is not there. price: the price is the obstacle. other: anything else.
messageYesWhat happened, in plain words. Do not paste the contract or your user's personal details.
contractIdNoThe contract this is about, if any.
wouldPayUsdNoOnly if your user said one: what they would pay per contract for Prism to be worth it, in US dollars. Do not guess.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nextStepYesWhat the agent should do next, in plain words; null when nothing is needed. A step that would spend credits or money says to ask your user first: do not take it on your own.
receivedYestrue once the message is stored.
feedbackIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / nextStep / description
      Previous value: -"What the agent should do next, in plain words; null when nothing is needed."New value: +"What the agent should do next, in plain words; null when nothing is needed. A step that would spend credits or money says to ask your user first: do not take it on your own."
  2. Changed2 schema fields changed
    • changedInput schema / properties / kind / description
      Previous value: -"wrong_result: a date, consequence or quote is wrong. missing: something your user needed is not there. price: the price is the obstacle. other: anything else."New value: +"wrong_result: your user corrects a date, consequence or quote. missing: a document type is not supported, a feature is asked for, or something your user needed is not there. price: the price is the obstacle. other: anything else."
    • changedInput schema / properties / wouldPayUsd / description
      Previous value: -"What your user would pay per contract for Prism to be worth it, in US dollars."New value: +"Only if your user said one: what they would pay per contract for Prism to be worth it, in US dollars. Do not guess."
  3. Changed1 schema field changed
    • addedInput schema / properties / contractId / minLength
      Added value: +1
  4. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond the annotations: states the call is free and never spends credits, that a human reads every message, that there is no reply to the agent and no promised fix, and that reproduced wrong results grant 10 free credits. These are non-obvious behavioral and incentive facts an agent cannot infer from the write-ish annotation profile.

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?

Front-loaded with purpose, then triggers, then constraints; nearly every sentence carries an actionable rule (credit cost, no promise of a fix, PII exclusion). The trigger sentence is dense and long, but it is not padding.

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

Completeness5/5

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

For a mutation tool with an output schema already covering the return value, the description supplies everything the agent still needs: when to fire, what to include, what to omit for privacy, cost implications, and the follow-up expectation. Nothing material is missing.

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 already 100%, so baseline is 3. The description adds real meaning: it pairs kind values with the user behavior that selects them, tells the agent to include contractId and the corrected value for wrong_result, and requires wouldPayUsd only when the user volunteered a price.

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?

States a specific verb and resource (sends a message to the people who build Prism) plus the return behavior (returns a confirmation). It is clearly not a contract-manipulation tool like prism_review_contract or prism_unlock_contract, so an agent can distinguish it from every sibling without opening a 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?

Explicitly enumerates trigger conditions mapped to each kind (wrong_result, missing, price) and gives an exclusion rule: 'Send it only when one of those happened, not after every result.' This is exactly the when/when-not guidance that routing decisions depend on.

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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