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Colin Wynd (tarvit.com)

Colin Wynd: read an article

get_article
Read-onlyIdempotent

Full text (Markdown) of one of Colin Wynd's articles on tarvit.com, with its canonical URL and dates. Accepts an article slug, URL or title.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_article"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesArticle slug, URL or exact title

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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, destructiveHint=false and openWorldHint=false, so safety is covered structurally. The description adds real value beyond them by disclosing the return payload's form (Markdown full text) and its accompanying fields (canonical URL, dates), which no annotation conveys.

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?

Two short sentences, zero filler, and the most important fact (what comes back) is front-loaded before the input forms. Nothing is redundant or padded.

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 one-parameter read tool with rich annotations, the definition covers what the tool returns and what input it accepts, which is enough to call it correctly. Minor gaps remain around ambiguous-input resolution and not-found behavior, but with no output schema required, the essentials are present.

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 coverage is 100% and the single 'slug' property is already documented as 'Article slug, URL or exact title'. The description repeats the same accepted input forms ('an article slug, URL or title') without adding format examples, resolution precedence when the input is ambiguous, or error behavior for a non-matching title. Baseline 3 fits when the schema carries the semantics.

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?

States a specific verb+resource: returns the full Markdown text of a single Colin Wynd article on tarvit.com, plus canonical URL and dates. That reads clearly as a single-item fetch, implicitly distinct from list_writing and search_writing, but it never names a sibling to sharpen the boundary.

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?

Usage is only implied: an agent can infer this is the retrieval step after list_writing or search_writing surfaces an article. There is no explicit when-to-use statement, no exclusion (e.g. 'do not use for searching by keyword'), and no note on what happens if the slug doesn't match.

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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