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Rafał Doniec: AI for companies

Blog posts

list_blog_posts
Read-only

Posts of Rafał Doniec's blog about AI in companies, newest first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoLanguage of the texts in the result. Default: en.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
feedYes
postsYes
first_post_expectedNoDate of the first post, while none is out yet.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful ordering behavior ('newest first'), but says nothing about result size, pagination, truncation, or whether all posts are returned in one call.

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?

One sentence with zero filler, scoping information front-loaded before the ordering detail. Nothing to trim.

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?

An output schema exists, so return shape need not be explained, and the single optional parameter plus safety hints are fully covered elsewhere. Only the absence of any volume/pagination expectation keeps it from being complete.

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 'language' parameter is fully documented in the schema, including its enum and default. The description adds no meaning beyond the schema, which is the expected baseline here.

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 the exact resource (posts of a specific blog), its subject matter (AI in companies), and the sort order (newest first). The verb 'list' is implicit but the return set is unambiguous, and the domain clearly separates it from the quote/contact siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to call this versus anything else, and no prerequisites or constraints beyond the implicit 'this returns blog posts.' The sibling tools are all quote/contact related so the domain split is inferable, but the description offers no guidance of its own.

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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