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Catherine Ives-Yim: writing and assessments

Get an article

get_article

The full text of an article or site page by slug, with citation and source labels. About describes stated experience; Services describes the offering; articles describe published views. None is independent verification. Cite the address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe article slug from list_articles, or "about" or "services".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses content-level behavior (what about/services/articles represent) and a verification caveat, plus a usage instruction ('Cite the address'). It says nothing about permissions, rate limits, or failure behavior for an invalid slug, so behavioral coverage is partial.

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?

Four short sentences with the purpose front-loaded and no filler. The final imperative ('Cite the address') is terse and slightly ambiguous in phrasing, but overall the text is lean and scannable.

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?

With one parameter, no annotations, and no output schema, the description covers what is returned at a high level ('full text ... with citation and source labels') and how to interpret the special slugs. That is close to sufficient for a simple fetch tool; only failure modes and permission requirements remain unaddressed.

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% and the single slug parameter is already documented as coming from list_articles or being 'about'/'services'. The description's discussion of slug semantics largely mirrors the schema, so it meets the baseline without adding new syntactic or formatting detail.

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 resource and retrieval mode: 'the full text of an article or site page by slug'. It also clarifies the three slug classes (about, services, articles), which is meaningful scope beyond the name. It does not explicitly name a sibling to contrast with, so it sits at 4 rather than 5.

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 explains what each slug type means, which implicitly guides when to call this versus other listing tools, and adds a caveat ('None is independent verification') about interpreting results. However, it never names an alternative (e.g., search_articles to find a slug) or states an explicit when-not-to-use condition, so guidance is implied rather than stated.

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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