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

With no annotations present, the description carries the full behavioral load and largely succeeds: it discloses that empty lists reflect only this connection's access (not the whole workspace), that registeredAccounts permit metadata references only while connections are live provider operations, that plan null means unlimited and archived tasks count, and that items_create refuses oversized batches atomically. This is substantive beyond any structured field. Points lost only because the facts are unordered and some semantics remain implicit.

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?

The content is front-loaded correctly with the discovery purpose, and every sentence does carry usable information with no obvious filler. However, it is delivered as one undifferentiated block covering a dozen unrelated concerns (permissions, consent, workflows, relationships, namespaces, plan limits, imports), so an agent must parse a firehose rather than scan structured guidance.

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 high-complexity discovery tool with no output schema and no annotations, the description is unusually complete: it explains the meaning of empty results, the distinction between registeredAccounts and connections, plan semantics, and interdependencies with sibling tools. It does not describe any pagination or the overall response shape, which are the remaining gaps.

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?

The input schema declares no parameters, so the baseline is 4. The description adds field-level meaning for the returned data (connectorId vs connection id, workflows.newProjects, plan used/remaining), but these describe outputs rather than input arguments, so no additional input-parameter interpretation is required or provided.

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 states a clear discovery purpose: it enumerates the categories of information returned (permission scopes, requestable permissions, project restrictions, workflow setup, account namespaces, provider operations). It distinguishes itself from the shared catalog and from siblings like request_permissions. It is diffuse because the facts are packed into prose rather than framed as a single crisp purpose statement, but the core verb+resource is clear.

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?

Explicit guidance is given: 'Always check this result for the selected account; the shared tool catalog does not grant access,' and it names alternatives by function (request_permissions for approval requests, relationship_create for dependencies/outputs, items_create for imports). It tells the agent what to consult this tool for and when another tool applies. It stops short of an explicit when-not-to-call statement.

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