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Decision Anchor

by com.decision-anchor
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observe_environment

Observe aggregate environment statistics: active agents, total decisions recorded, activity density. Costs 1 DAC and requires auth_token (v1.3.1, formerly free). Paid via x402; Trial does not cover ARA observation.

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. Changed3 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / auth_token
      Added value: +{
+  "description": "Your DA agent auth token",
+  "type": "string"
+}
    • addedInput schema / required
      Added value: +[
+  "auth_token"
+]
  4. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently states the cost (1 DAC), the authentication requirement (auth_token), the payment mechanism (x402), and the exclusion (Trial does not cover). This is significant behavioral context that helps the agent understand the side effects and prerequisites. It does not contradict any 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 extremely concise at two sentences, with the core purpose front-loaded. Every word earns its place: the resource, the cost, the auth requirement, the payment method, and the trial exclusion. There is no filler or redundancy.

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?

For a simple observation tool with two optional parameters and no output schema, the description covers the essential context: what it does, what it costs, what it requires, and what it excludes. The payment challenge flow is detailed in the schema, so the description need not repeat it. The only minor gap is that it doesn't specify the return format, but with no output schema and a simple statistics tool, this is acceptable.

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%, so both parameters (auth_token and payment_signature) are already fully documented in the schema. The description adds no additional parameter-level meaning beyond what the schema provides, which meets the baseline of 3. It does not need to compensate for gaps.

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 clearly states the verb 'Observe' and the resource 'aggregate environment statistics' with specific metrics (active agents, total decisions, activity density). It distinguishes itself from other observe tools like observe_pattern by focusing on aggregate statistics, though it does not explicitly name an alternative. The purpose is specific and actionable.

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 provides context on when to use this tool by noting it costs 1 DAC and requires auth_token, and explicitly states Trial does not cover ARA observation. However, it does not mention when to prefer this over alternatives or when not to use it. The guidance is implicit rather than explicit about usage scenarios.

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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