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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds that content includes markdown, metadata, reading time, and checkpoints, but is silent on failure behavior for a bad slug and on how much content is returned per call. Given the annotations carry the safety profile, this is adequate but thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb and resource, with no redundant or filler clauses. Every phrase adds distinguishing content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 full schema coverage, rich annotations, and an output schema defining return values, the description covers purpose and output scope adequately. Only the not-found/error case and its relationship to the list sibling are unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

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 documented with concrete examples in the schema itself. The description only adds 'by slug', contributing no syntax, formatting, or example beyond what the schema already provides, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Retrieve) and resource (technical article) scoped by a named key (slug), and enumerates what is returned. This clearly separates it from the list-style sibling get_articles and mirrors the get_project_by_slug pattern without ambiguity.

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

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

The 'by slug' framing implies this is the single-item fetch versus the get_articles listing, but the description never states when to prefer it over get_articles or search_knowledge_base, nor what happens for an unknown slug. Usage is inferable but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.