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

Beyond the readOnly/idempotent annotations, it discloses genuinely useful behavior: the link is an editable draft, readers need no account, errors are returned as a list of field paths with remediation and no link, and warnings report ignored keys. These failure-mode contracts are exactly what annotations cannot convey.

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?

Four sentences with the purpose front-loaded, followed by input format and then error/warning behavior. Every sentence carries information, though the format reference is repeated from the schema and could be trimmed.

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 an output schema present, return structure need not be spelled out, yet the description still covers the meaningful non-happy-path outputs (per-field errors, ignored-key warnings). For a single-parameter validation-plus-link tool, nothing an agent needs 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 coverage is 100% and the single parameter is already documented as a JSON object requiring title and series, including the same pointers to get_plot_format and list_examples. The description largely restates the schema, so the baseline 3 applies.

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 gives a concrete verb pair and resource: check a Graph Paper plot document and return a link that opens it as an editable draft. The resource is unambiguous, though it does not explicitly contrast itself with get_plot_format or list_examples beyond naming get_plot_format as a format reference.

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?

It clearly explains the expected input (a JSON document in get_plot_format shape) and defines the retry loop: fix reported errors and call again. It stops short of stating when a caller should prefer get_plot_format/list_examples instead, so sibling routing is only implied.

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