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UiChemy AI Website Creator

uichemy_get_blog

Read-only

The posts this project has — title, byline, date, category, read time — and which article page each one lands on. Call it before changing a post: the post number, not the title, is what identifies it.

Input Schema

NameRequiredDescriptionDefault
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), so the bar is lower. The description adds genuine value the annotations cannot: the exact fields returned and the identifier semantics (post number rather than title), which materially affects downstream calls. It omits pagination or ordering behavior.

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?

Two tight sentences, front-loaded with the return payload, then the usage rule and the identifier caveat. Every clause earns its place, though the field enumeration is slightly list-like.

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 no output schema, the description carries the return-shape burden and does so competently (fields plus page mapping), and annotations cover safety. Only the meaning of projectId is left undocumented.

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 0%, but there is only one parameter (projectId) and the description never explains it, leaving a small gap. What it does contribute is identifier semantics for the returned 'post number', which is useful but not a substitute for documenting the actual input parameter; baseline 3 fits.

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 states a specific resource ('the posts this project has') and enumerates what each entry contains (title, byline, date, category, read time, landing page), so the agent knows exactly what comes back. It reads clearly as a list/read operation, though it never explicitly names a sibling like uichemy_add_blog or uichemy_remove_post to contrast against.

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?

'Call it before changing a post' gives a concrete trigger for invoking the tool, and the note that 'the post number, not the title, is what identifies it' tells the agent how to act on the result. There is no explicit when-not-to-use or named alternative, so it stops short of a 5.

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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