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

No annotations are present, so the description carries the full burden for behavioral disclosure. It only implies a read-only shape check through the word 'shape' and never states side effects, return behavior, data handling, or what happens with the many inputs. It is slightly better than no meaningful clue but still far from transparent.

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?

At only four words, the description is concise, but conciseness is only earned when the needed meaning is communicated. The definition is under-specified rather than efficiently structured, and there is no front-loaded functional statement.

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?

With 9 optional parameters, no output schema, and no annotations, the tool cannot be used confidently from this description. The agent is left without guidance on which parameter to provide, what the tool returns, or how the shape check behaves.

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 each parameter is already individually documented with reasonable meaning. The description itself adds no parameter-level semantic value and never explains how any of the nine parameters relates to a Snowflake id, but the high schema coverage meets the baseline.

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?

The description is a bare noun phrase, 'Snowflake id shape', with no verb or explicit action. It does not state whether the tool checks, validates, normalizes, or returns information about a Snowflake id. Though the sibling shape-tool context hints at validation, the description alone is too vague to tell an agent exactly what it does.

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?

There is no explicit guidance about when to use this tool rather than a sibling such as github-repo-shape, jira-key-shape, or domain-shape. No conditions, exclusions, or alternatives are mentioned.

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