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chrischall

onthecheap-mcp

by chrischall

Get an On the Cheap article

otc_get_post
Read-onlyIdempotent

Fetch a full On the Cheap article by specifying the city site and the post ID, slug, or URL. Returns readable text or original HTML.

Instructions

Fetch one "on the Cheap" article in full by numeric id, slug, or full URL. Pass the site key for the city the article belongs to — an id or slug from one site will not resolve on another, and a full URL must match the site you name. Returns the article text as readable plain text by default; set format to "html" for the original markup. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postYesPost id, slug, or full article URL
siteYesWhich "on the Cheap" city to read. Required — there is no default site. One of: charlotte, denver, atlanta, chicago, columbus, seattle, kansascity, miami, orlando, portland, richmond, southernmaine, triangle, national. Common aliases also work (milehigh, raleigh, rva, southflorida, kc, …). Use otc_list_sites for the full list with the area each one covers.
formatNoBody format: readable text (default) or raw HTML
Behavior4/5

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

Annotations already mark the tool as read-only, idempotent, and open-world. The description adds behavioral details beyond annotations: default plain-text output, optional HTML format, and site-matching constraints. This adds meaningful context.

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, front-loading the primary purpose and then adding critical details. No superfluous text; every sentence adds value.

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?

Given no output schema, the description covers key aspects: input identifiers, site requirement, and output format. It addresses potential cross-site confusion. Could briefly mention additional return fields, but overall sufficient for a read-only fetch tool.

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?

Schema coverage is 100% with descriptions for each parameter. The description adds extra context such as example aliases for sites and the constraint that id/slug/URL must match the specified site, enhancing understanding beyond the schema.

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?

Description explicitly states the tool fetches a single article by id, slug, or URL. The verb 'fetch' and resource 'article' are clear, and the specificity of identifiers distinguishes it from sibling list tools.

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 provides clear context: requires site key, explains cross-site resolution behavior, and directs to otc_list_sites for available cities. It does not explicitly state when not to use this tool, but the guidance is sufficient for correct selection.

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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