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US Brand Signal Webhook Payload Builder

us-brand-signal-webhook-payload-builder
Read-only

Build one bounded deterministic unsent payload shaped for Slack, Teams, or a generic webhook from one normalized signal and buyer-supplied evidence. The Actor never sends a webhook or accepts a destination. — $0.05/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
signalYesBuyer-provided text and one to three HTTPS evidence records. No identity or live-source lookup is performed.
targetYesA closed enum only. This selects a local JSON shape; it never supplies a destination.slack
presentationYesOnly these booleans, style enum, and bounded character limit are accepted. Templates and expressions are not supported.
schemaVersionYesThe only supported closed contract version.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, but the description adds critical behavioral context: the tool never sends a webhook, never accepts a destination, and produces 'bounded deterministic' output. The pricing note ($0.05/call, x402) is an additional transparency element. This goes beyond what annotations alone convey.

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 exactly two sentences: the first densely packs purpose, scope, and target selection; the second states a vital safety guarantee. No repetitive or unnecessary wording, and it is well front-loaded.

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?

Given the complexity of nested inputs and 4 parameters, the schema thoroughly documents all inputs and constraints. The description covers purpose, safety, and pricing. Since there is no output schema, the description could have clarified return-value structure, but the tool name and purpose make it obvious that it returns the built payload. The overall definition is complete enough.

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 provides 100% description coverage with detailed field descriptions, enums, nested item schemas, and constraints (e.g., maxLength, patterns, min/maxItems). The description itself adds no parameter-specific information, but the schema already carries that burden. Baseline 3 applies due to high schema coverage.

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 action ('Build one bounded deterministic unsent payload') with clear targets (Slack, Teams, generic webhook) and input source ('normalized signal and buyer-supplied evidence'). It distinguishes from siblings by explicitly noting 'The Actor never sends a webhook or accepts a destination,' which differentiates it from any potential sending or destination-consuming tool.

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?

The description conveys when to use the tool: to construct a payload for Slack/Teams/generic from a normalized signal and evidence. It also provides an exclusion by stating 'never sends a webhook or accepts a destination,' which signals when not to use it (if delivery is needed). However, it does not name specific alternative tools, so it falls short of fully explicit 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

A3.8/5.0
Disambiguation2/5

Many tools have overlapping purposes, e.g., us-brand-signal-metrics-aggregator, us-brand-signal-cross-tabulator, and us-brand-signal-brand-summary all produce counts or summaries of the same type of data. The descriptions are detailed, but the boundaries between analyzers, summarizers, and aggregators are unclear enough that an agent may struggle to pick the right one.

Naming Consistency4/5

Most tools follow a consistent 'us-brand-' prefix with descriptive nouns separated by hyphens (e.g., us-brand-signal-batch-splitter, us-brand-evidence-chronology-builder). The exception is 'pricing_info', which uses an underscore and lacks the prefix, creating a minor inconsistency.

Tool Count3/5

At 21 tools, the set is on the heavier side but still manageable for a complex domain like brand intelligence. Many tools are variations on deterministic signal processing, which could be streamlined, but the count itself is not extreme.

Completeness3/5

The tool set covers a broad pipeline for processing buyer-supplied signals and evidence, including splitting, summarizing, routing, and building payloads. However, it lacks any tools for ingesting or fetching data from external sources (except one federal award snapshot), and there is no end-to-end controller that orchestrates the workflow. This leaves notable gaps for a complete 'brand intelligence' lifecycle.

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