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

Annotations already declare this as read-only, idempotent, non-destructive, and not open-world. The description adds useful behavioral context by saying it returns best matches with a summary and link, which helps the agent understand the result shape beyond the safety annotations.

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?

Two sentences, no waste, and the core purpose is front-loaded before usage examples. It is appropriately sized for a straightforward search tool.

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?

Given full parameter documentation and rich annotations, the description is nearly complete for agent selection. The main minor gap is that it does not specify result cardinality, ranking behavior, or what happens with no matches.

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 coverage is 100%, so the query, locale, and category parameters are fully documented in the schema. The description reinforces topical search and uses examples, but does not add meaning beyond the schema for locale or category.

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 and resource (“Search TakeMeUp.cv's CV, resume and job-search guides by topic”) and explains what is returned (“best matches with a summary and link”). It implies differentiation from list/get siblings by emphasizing topic-based search, but does not explicitly name or contrast those alternatives.

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?

Gives clear usage context: answer CV, resume, cover-letter, interview, or job-application questions with a readable guide. The examples make the intended use concrete, but there are no explicit exclusions or routing guidance for when to use list_takemeup_guides or get_takemeup_guide instead.

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