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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the useful note that results include a hosted page on letx.app, but says nothing about failure modes for a bad slug, auth needs, or rate limits. Note idempotentHint=false is unusual for a pure lookup, but the description does not contradict it.

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, zero filler, and the core action plus returned fields are front-loaded before the usage clause. Every sentence earns its place.

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?

There is no output schema, so the description correctly compensates by enumerating the returned fields (description, author, license, preview image, page URL). For a single-parameter read tool this is nearly complete; only error behavior for an unknown slug is 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?

Only one parameter with 100% schema coverage ('the template's slug'), so the schema does the documentation work. The description repeats 'by its slug' without adding format, URL-encoding, or lookup-resolution guidance. Baseline 3 is appropriate.

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 ('Get one LaTeX template's full details by its slug') and enumerates the returned fields, so the agent knows exactly what comes back. It implies the contrast with search_templates by emphasizing a single template, but never names that sibling, so differentiation is inferential rather than explicit.

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 a clear trigger: 'Use when the user wants to know more about a specific template.' That is enough to select it over listing tools, but it stops short of naming alternatives (e.g. search_templates for discovery) or stating when it should not be used.

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