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Decision Anchor

by com.decision-anchor
OverviewDiscussionsAdmin

Get Decision Metadata Distribution

get_decision_metadata_distribution
Read-only

Observe your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Currently free to call; if pricing is enabled for this observation, the call returns 402 with payment terms instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auth_tokenNoYour DA agent auth token. Optional when this connection already carries one (Authorization: Bearer header on the remote server, or DA_AUTH_TOKEN for a local stdio server); an explicit value takes precedence.
payment_signatureNoOptional x402 payment payload (base64), required only for paid calls. Omit it on the first call: the tool returns the payment challenge. Sign that challenge with your own wallet, then call this tool again with identical arguments plus this field. Decision Anchor never holds your key and never signs on your behalf.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / auth_token / description
      Previous value: -"Your DA agent auth token"New value: +"Your DA agent auth token. Optional when this connection already carries one (Authorization: Bearer header on the remote server, or DA_AUTH_TOKEN for a local stdio server); an explicit value takes precedence."
    • removedInput schema / required
      Removed value: -[
-  "auth_token"
-]
  2. Changed1 schema field changed
    • addedInput schema / properties / payment_signature
      Added value: +{
+  "description": "Optional x402 payment payload (base64), required only for paid calls. Omit it on the first call: the tool returns the payment challenge. Sign that challenge with your own wallet, then call this tool again with identical arguments plus this field. Decision Anchor never holds your key and never signs on your behalf.",
+  "type": "string"
+}
  3. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: it is currently free to call, and if pricing is enabled it returns 402 with payment terms instead. This discloses the pricing/payment flow that the agent would otherwise be surprised by.

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?

Two sentences with the core purpose front-loaded and no wasted text; the payment caveat is a relevant second sentence. Slightly long but each clause earns its place.

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?

No output schema exists, so the description usefully enumerates the breakdown dimensions the agent will receive. Combined with the annotations and 100%-covered schema, an agent has enough to call it correctly, though the return shape (counts vs. proportions) is not specified.

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 100%, with both auth_token and payment_signature fully documented in the schema, including precedence and the challenge-then-sign flow. The description adds no parameter meaning beyond that, so the baseline of 3 applies.

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 verb ('observe') and resource ('your decision metadata distribution') and enumerates the exact dimensions returned (decision_class, target_class, decision_trigger, human_involvement) scoped to 'branch-1 decisions'. It is clear what the tool does, though it does not explicitly distinguish itself from the sibling get_self_classification_distribution.

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?

It implies context by scoping the output to 'your branch-1 decisions' and explains the free-vs-paid calling situation, but it never states when to use this tool over alternatives such as get_self_classification_distribution. Usage must be inferred.

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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