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Submit a request for human review

submit_request
Idempotent

Queue an enquiry for a human to review. This is NOT an order and does NOT create a task: no operator is contacted until a person has reviewed it. Only call this after the user has explicitly agreed to send an enquiry, and only with contact details the user provided. Requires consent: true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesAddress the answer is sent to.
sourceNoHow the requester found this service.
companyNoOrganisation on whose behalf the request is made.
consentYesMust be true. Confirms the user agreed to be contacted about this request.
deadlineNoFree text or ISO date.
evidenceNoEvidence the requester wants back.
locationYesAddress in the service area.
budgetEurNoBudget ceiling in euro.
locationsNo
capabilityNoCapability id, if already known from a quote.
contactNameYesName of the person making the request.
idempotencyKeyNoStable key so a retry cannot queue the same request twice.
taskDescriptionYesWhat should happen on site, including anything a reviewer needs to judge it.

TDQS

A4.9/5.0
Behavior5/5

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

The description adds meaningful behavioral context beyond the annotations: it clarifies that no operator is contacted until a human reviews the enquiry, and that consent:true is required. This goes beyond the idempotentHint and openWorldHint annotations and helps the agent understand the side effects and prerequisites.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three concise sentences. It front-loads the main purpose, then provides key behavioral exclusions and usage prerequisites. Every sentence carries important information without waste.

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?

Given the tool's moderate complexity (13 params, no output schema, no nested objects), the description covers the core behavioral contract, usage conditions, and consent requirement. It provides enough context for an agent to use the tool correctly without needing to know return values. The safety-relevant information is fully disclosed.

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 high (92%), so the baseline is 3. The description adds semantic value by emphasizing that consent must be true and that contact details must come from the user, which clarifies the intended meaning of several parameters (contactName, email, location). This lifts it to a 4.

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 uses a specific verb ('Queue') and clearly names the resource ('an enquiry for a human to review'). It explicitly distinguishes itself from an order or task, which differentiates it from sibling tools like quote_task or get_use_cases.

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 states clear usage conditions: only after the user explicitly agrees, and only with contact details the user provided. It also explicitly says what this tool does NOT do (does not create a task, no operator contacted until review), providing strong when-to-use vs. alternatives 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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_use_cases and list_capabilities both describe service offerings, creating mild ambiguity about which to call. check_service_area and quote_task also overlap slightly on eligibility checks.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (check_, get_, list_, quote_, submit_), making the set highly predictable and readable.

Tool Count5/5

Five tools is well within the ideal range and each covers a distinct step in the enquiry workflow, from eligibility check to submission, without unnecessary bloat.

Completeness4/5

The enquiry lifecycle is well covered: eligibility, capabilities, examples, quoting, and submission. However, there is no tool to track or manage a submitted enquiry, which is a minor gap.

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