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

No annotations are provided, so the description carries the burden. The 'get' framing and the enumeration of returned fields signal a safe read, and disclosing that org id feeds another tool is genuinely useful. But it says nothing about error behavior for a missing project, auth requirements, or rate limits, leaving gaps for an unannotated tool.

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?

A single front-loaded sentence with no filler. Every clause earns its place by naming the resource and its most useful return fields.

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 one-parameter read tool with no output schema, describing the key returned fields (org id, dashboard URL, job counts) usefully compensates for the absent output schema. However, with no annotations and no mention of failure modes, it is only adequately complete rather than thorough.

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 project_id parameter is fully documented in the schema, including the 'numeric id in the dashboard URL' hint. The description adds no parameter syntax or format detail beyond that, so the baseline of 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?

States a specific verb and resource ('Details of one Scrapy Cloud project') and enumerates what is returned (organization id, dashboard URL, job counts). The singular 'one project' implicitly distinguishes it from siblings like scrapy_cloud_list_projects and scrapy_cloud_get_project_settings, but no sibling is named explicitly.

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?

The description gives one useful cross-tool hint — the organization id is 'needed by zyte_api_usage_stats' — which implies a chained workflow. However, it never states when to use this tool versus get_project_settings, get_project_activity, or list_projects, so the routing guidance is only implied.

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