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Get Article

get_article
Read-onlyIdempotent

Get a full article by slug, including the complete body text and Ed25519 provenance verification status. Optionally include detailed provenance and governance blocks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesArticle slug (from the URL)
agent_idNoOptional persistent agent identifier. On the first MCP tool call that accepts agent_id, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask. Any stable string is accepted.
include_governanceNoInclude the detailed content governance block and usage terms when the user asks what agents may do with the article
include_provenanceNoInclude the detailed Ed25519 provenance receipt when the user asks how authorship is verified

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoPresent when the tool returns a text-only response.
agent_idYesPersistent agent identifier to save and send only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask.
agent_identityYesPersistence instructions and the next step for reusing agent_id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / agent_id / description
      Previous value: -"Optional persistent agent identifier. On the first MCP tool call, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id on every subsequent MCP tool call. Any stable string is accepted."New value: +"Optional persistent agent identifier. On the first MCP tool call that accepts agent_id, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask. Any stable string is accepted."
    • changedOutput schema / properties / agent_id / description
      Previous value: -"Persistent agent identifier to save and send on every subsequent MCP tool call."New value: +"Persistent agent identifier to save and send only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask."
  2. Changed4 schema fields changed
    • addedInput schema / properties / agent_id
      Added value: +{
      +  "description": "Optional persistent agent identifier. On the first MCP tool call, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id on every subsequent MCP tool call. Any stable string is accepted.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / agent_id
      Added value: +{
      +  "description": "Persistent agent identifier to save and send on every subsequent MCP tool call.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / agent_identity
      Added value: +{
      +  "additionalProperties": true,
      +  "description": "Persistence instructions and the next step for reusing agent_id.",
      +  "type": "object"
      +}
    • addedOutput schema / required
      Added value: +[
      +  "agent_id",
      +  "agent_identity"
      +]
  3. Changed2 schema fields changed
    • addedInput schema / properties / include_governance
      Added value: +{
      +  "description": "Include the detailed content governance block and usage terms when the user asks what agents may do with the article",
      +  "type": "boolean"
      +}
    • addedInput schema / properties / include_provenance
      Added value: +{
      +  "description": "Include the detailed Ed25519 provenance receipt when the user asks how authorship is verified",
      +  "type": "boolean"
      +}
  4. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds that the tool returns complete body text and verification status, but does not disclose additional behavioral traits such as response size limitations, error behavior, or any external dependencies.

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 two sentences with no filler. The primary purpose and key return content are front-loaded, and optional behavior is stated compactly in the second sentence.

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 read-only, idempotent tool with a well-documented schema and an output schema, the description covers the core agent decision: retrieve a full article by slug, optionally including provenance and governance blocks. It does not discuss edge cases like nonexistent slugs, but this is not necessary for correct typical invocation.

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 the schema already explains slug, agent_id, include_governance, and include_provenance. The description adds only that provenance and governance are 'optional' and 'detailed,' which is minor context beyond the schema's already comprehensive parameter descriptions.

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 verb and resource: 'Get a full article by slug,' and clarifies the key content returned (complete body text and Ed25519 provenance verification status). This clearly differentiates it from sibling list/search tools by anchoring on a single article identifier.

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 gives clear context for when to use the tool: when a specific full article is needed by slug, with options to include provenance or governance details. It does not explicitly name alternative tools or state when not to use it, but the by-slug framing and optional annotations provide sufficient 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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