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

Annotations declare readOnlyHint and idempotentHint; the description is consistent with these and adds the key behavioral trait annotations cannot express: invoking with generateIfMissing=true writes a new AxDataEntityView XML template, a side effect normally hidden by the readOnly profile. It also discloses the scan scope ('all indexed AxDataEntityView objects') and the exact returned fields. No contradiction, though it does not cover auth needs or error/reversibility of the generated template.

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?

Well-structured and front-loaded with the WHEN clause, followed by triggers, behavior, returns, and the conditional generation note. However, it repeats the generateIfMissing behavior twice, includes filler ('Essential for integration development'), and the trigger phrase list is longer than needed.

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's explicit list of return values (entity name, public entity name, IsPublic status, key fields, all data sources) is valuable and largely compensates. Combined with trigger phrases, scan scope, and the generation side effect, it is complete for the primary use case — the only notable gap is routing guidance to sibling tools.

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 substantive param documentation (defaults, max value, and the generateIfMissing behavior). The description mostly restates what the schema already says about generateIfMissing and the SalesTable example rather than adding new meaning, so the 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: 'Find D365 F&O data entities that expose a given table for OData/DMF integrations.' It further distinguishes itself from siblings by naming its exact return payload (public entity name for OData URL, IsPublic status, key fields, data sources) and its conditional generation behavior, which separates it from get_data_entity_info and generate_data_entity in the sibling list.

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?

Leads with an explicit WHEN clause targeting OData integration developers who need an entity name for a given table, and provides both trigger phrases and a concrete example question ('Which entity exposes SalesTable for OData?'). It also states the condition for the generation path (no public entity found and generateIfMissing=true). However, it never names sibling alternatives or says when not to use this tool versus get_data_entity_info or generate_data_entity, so it stops short of full exclusion guidance.

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