Skip to main content
Glama

Resolve Commercial Intent

resolve_commercial_intent

Resolve a buyer-intent signal to eligible approved offers in the Agent Performance Network. Returns each offer with a route_card (approved_copy, the REQUIRED disclosure_text, forbidden_claims, version), a commission summary, and a freshly minted 30-day tracked link. Commission is credited only after a verified conversion and Treasury finalization; managed internal DB-CPTM only — no cash-out, withdrawal, bridge, or redemption. You MUST present the route_card.disclosure_text and MUST NOT make any route_card.forbidden_claims. Bearer token required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentNoOptional buyer-intent signal recorded with the minted token.
surfaceNoOptional surface presenting the offer (tracking context).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the upstream exchange call succeeded (HTTP status < 400).
dataYesEligible offers with approved copy, required disclosure, commission summary, and tracked links. Null when ok is false.
errorYesIn-band error code or message when ok is false; null on success.
statusYesUpstream HTTP status code returned by the Conductor Relay API.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

The description discloses critical behavioral details beyond annotations: route_card structure (approved_copy, required disclosure_text, forbidden_claims, version), commission crediting condition (verified conversion + Treasury finalization), DB-CPTM-only restriction with no cash-out/withdrawal/bridge/redemption, and mandatory compliance obligations. It also mentions bearer token requirement, significantly exceeding the basic annotations.

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 structured with the purpose first, followed by return details, commission and restriction context, compliance mandates, and auth. Every sentence adds value and no fluff is present. It is moderately long but proportional to the tool's complexity.

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?

With an output schema present, the description still adds comprehensive context: the type of result (route_card, commission summary, tracked link), commission conditions, internal-network restriction, and mandatory compliance rules. This makes the tool's behavior clear even without seeing the output schema. The description is complete for the tool's complexity.

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?

The input schema already provides full descriptions for both parameters (intent and surface) with 100% coverage. The description does not add parameter-specific semantics beyond what the schema already states, so it relies on the schema to convey parameter meaning.

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 the specific verb 'resolve' with a clearly defined resource ('buyer-intent signal') and outcome ('eligible approved offers'), distinguishing it from sibling tools like list_direct_offers. It clearly states what the tool does without ambiguity.

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 description implies the tool is for resolving buyer-intent signals to offers, but it does not explicitly explain when to choose this over alternatives like list_direct_offers or claim_job. There are no usage exclusions or comparisons with sibling tools, leaving usage boundaries inferred rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.