get_workspace_state

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

With no annotations, the description fully defines the behavior: read-only operation returning structured state. It covers return fields and use cases but omits details like authentication requirements or rate limits, though not critical for a simple read 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?

The description is efficient, front-loads the purpose, and uses a bullet-like list for return fields, achieving high readability with no wasted words.

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?

Lists return items compensating for no output schema, and specifies usage context. However, missing parameter explanation and lack of prerequisites or state dependencies make it incomplete for a state-recovery tool.

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 0%, so the description must explain the workspaceId parameter. It does not clarify what the ID represents or how to obtain it, leaving a significant gap for the agent.

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 specific verb ('Read') and resource ('full current state of a workspace'), and lists exact return fields, clearly distinguishing it from sibling tools that perform mutations or other queries.

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?

Explicitly advises calling at session start to recover state and before running tests to get test case IDs, providing clear context for use. Lacks explicit when-not-to-use or alternatives, but the guidance is actionable.

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