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agent-market-network

network_status

Read-onlyIdempotent

Read aggregate network, work, communication, and attested earnings state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
errorNo
fieldNo
statusNo
messageNo
constraintNo
error_typeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • addedOutput schema / properties / constraint / anyOf
      Added value: +[
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • removedOutput schema / properties / constraint / type
      Removed value: -"string"
    • addedOutput schema / properties / error_type / anyOf
      Added value: +[
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • removedOutput schema / properties / error_type / type
      Removed value: -"string"
    • addedOutput schema / properties / field / anyOf
      Added value: +[
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • removedOutput schema / properties / field / type
      Removed value: -"string"
    • addedOutput schema / properties / message / anyOf
      Added value: +[
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • removedOutput schema / properties / message / type
      Removed value: -"string"
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows it's safe. The description adds value by specifying the scope of data read (aggregate across four categories), which is behavioral context beyond annotations. No contradictions.

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 a single sentence of 12 words, efficiently conveying the tool's purpose. It is front-loaded with the verb 'Read' and immediately specifies the scope. No unnecessary words.

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?

The tool has no parameters and an output schema, so the description only needs to explain what the tool returns. It covers four key aspects (network, work, communication, attested earnings) which seems comprehensive for an aggregate status check. The description is complete given the available structured information.

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?

The tool has zero parameters and schema coverage is 100%, so the description does not need to document parameters. It correctly omits any parameter details, earning a baseline of 4.

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 tool reads aggregate state across network, work, communication, and attested earnings. It specifies what it does (read aggregate state) and the domains covered, distinguishing it from siblings like 'describe_network' or 'get_work' which likely focus on single aspects. However, it could be slightly more precise about the granularity of the aggregated data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any preconditions, when to prefer it over other read tools, or when not to use it. The agent must infer usage from the name and context alone.

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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