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Request proposals

request_proposals
Destructive

For the signed-in client who owns the assessment: asks to request proposal packages from the vendors you choose in your evaluation. Nothing is sent by this tool: it returns a link to PreShiftIQ's confirm page; once you confirm there, each vendor you chose is notified. Only a vendor that has accepted its match can be asked.

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": {
      "vendor_ids": "<vendor_ids>"
    },
    "name": "request_proposals"
  }
}

Input Schema

NameRequiredDescriptionDefault
vendor_idsYes
assessment_idNo

Output Schema

NameRequiredDescriptionDefault
errorsNo
statusYes
summaryYes
expires_atYes
confirm_urlYes
proposals_recordedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the annotations, it discloses the critical two-step flow: this tool sends nothing, it returns a link to a confirm page, and notification happens only after confirmation there. That materially reframes the destructiveHint=true annotation as a deferred, user-confirmed action rather than an immediate side effect. It does not cover rate limits or what happens to vendors already requested.

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 tight sentences, front-loaded with the actor and the action, then the no-side-effect clarification, then the eligibility constraint. No filler, though 'asks to request' could be tightened to a single verb.

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?

An output schema exists and the description explains the return value (a confirm-page link), so return semantics are covered. Preconditions and the confirmation gate are stated. The remaining gap is the optional assessment_id, which an agent must infer.

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 description coverage is 0%, so the description must carry parameter meaning. It partially does by constraining vendor_ids to vendors that accepted their match, but it never explains assessment_id (optional, presumably defaults to the caller's own assessment) or the 1-50 item bound.

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?

The description names a specific action and resource ('request proposal packages from the vendors you choose in your evaluation') and is clearly distinguishable from the sibling submit_proposal_package, which flows the other direction. The phrasing 'asks to request' is slightly indirect but the intent is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the caller must be the signed-in client who owns the assessment and adds a real eligibility rule: 'Only a vendor that has accepted its match can be asked.' It does not explicitly name an alternative tool or say when not to use it, which keeps it short of a 5.

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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