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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds that the payload is static explanatory content covering tool return formats, which helps an agent decide the answer may already be in the guide. However, it calls the result "plain-text" while the schema's default format is json, a small mismatch that leaves the actual response shape slightly unclear.

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: the first front-loads the return value and enumerates its contents compactly, the second delivers the usage trigger. The content list is long but each item is a distinct topic an agent cannot infer elsewhere, so nothing is wasted.

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 zero-required-parameter, read-only documentation tool with rich annotations and no output schema, the description supplies the essential missing piece: what the guide actually contains and therefore answers. Only the plain-text versus json wording keeps it from fully matching the declared parameters.

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%, with both optional parameters (format enum, max_chars) fully documented including truncation and offset guidance, so the schema carries the parameter burden. The description mentions none of them, adding no meaning beyond what the schema already provides, which is the baseline 3 case.

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?

"Returns a plain-text guide to Besorah's texts and conventions" gives a specific verb and resource, then enumerates the exact content (editions, Hebrew-based verse numbering, Strong's ids with H/G prefixes, book codes, study-tool return values). This clearly separates it from the data-retrieval siblings, which fetch texts or words rather than explaining conventions.

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?

"Use when the user asks how the texts, numbering and ids work" gives a concrete trigger condition that an agent can match against a user question. No explicit when-not or named alternative is given, but the documentation/meta role is unambiguous against the study tools.

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