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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It declares the operation is read-only, describes the matching strategy ('exact case-insensitive title match' then 'partial title match'), and states the not-found behavior. This is unusually complete for a tool with no annotation support.

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?

Every sentence earns its place: the read-only nature is front-loaded, the purpose is clear, alternatives are routed, and the matching behavior is precise. Despite being longer than a one-liner, it is tightly structured with no filler.

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 single-parameter lookup tool with no output schema, the description fully enables correct invocation and interpretation. It covers when to use it, how matching works, what it returns, and what happens when no match is found. Nothing essential is missing.

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%, so the schema already documents the title parameter and its case-insensitive semantics. The tool description reinforces this but does not add meaning substantially beyond what the input schema already provides, which aligns with the baseline for high coverage.

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 ('Finds'), a clear resource ('educational tutorial by its human-readable title'), and the return value ('content and metadata'). It is immediately distinguishable from sibling tools like get_tutorials and search_tutorial_content because the description names the exact lookup-by-title behavior.

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 when to use this tool: when the user knows an article title but not its slug. It also names the alternatives and their conditions: get_tutorials for browsing/filtering or slug-known retrieval, and search_tutorial_content for searching inside tutorial content. No ambiguity remains about tool selection.

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