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

No annotations are provided, so the description carries the full behavioral burden. It does disclose useful traits: the 100-item cap, newest-first ordering, and the returned fields. However it says nothing about pagination beyond the cap, how search matching works (substring/case), or behavior when nothing matches.

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, both front-loaded: the first gives the resource, returned fields, and ordering constraints; the second gives the motivating use case. No filler, no repetition of the tool name.

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?

An output schema exists, so return-value documentation is not required, yet the description still summarizes returned fields helpfully. For a read-only listing tool with no required parameters, the main remaining gap is pagination/matching behavior at the 100-item boundary, which is minor.

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 0% for all three parameters (limit, search, category), so the schema supplies no semantics. The description partially compensates: 'resolve a template name like IEEE' implies the search parameter's purpose and the listed output includes category. But limit is never explained, and its relationship to the stated 'up to 100' cap is ambiguous.

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 (list official LaTeX templates), enumerates the returned fields (id/name/category/publisher), and gives scope constraints (up to 100, newest first). This clearly separates it from sibling list_* tools such as list_papers, list_projects, and list_versions, which cover different resources.

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?

Explicitly states the intended use case: resolving a template name like 'IEEE' into a template_id needed by create_project. That is a concrete when-to-use with a named downstream tool. It stops short of naming exclusions (e.g., when to use search_papers or list_files instead) but the intent boundary is clear.

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