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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds genuine value by disclosing the contents of the response (profile fields, stored notes, progress summary), which is behavioral context beyond the annotations. It does not mention pagination or auth, keeping it from a 5.

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 scope is front-loaded ('Read one workspace's full profile') followed by the field enumeration and a short usage sentence. The long field list is dense but serves a purpose by telling the agent what it will receive. No filler sentences.

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 no output schema, the description effectively compensates by enumerating the returned profile content plus the notes and progress summary. It doesn't detail item shapes or note counts, but for a single-parameter read tool this is nearly complete.

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 business_id parameter is fully documented as 'Workspace id from list_workspaces,' so the schema carries the load. The description adds no additional parameter syntax or formats. Baseline 3 is appropriate.

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 ('Read') and resource ('one workspace's full profile') and then enumerates the exact fields returned — website, description, audience, industry, stage, goal, budget, hours, competitors, channels, tried tactics. This clearly separates it from siblings like get_play, get_plan, or list_workspaces without the agent needing to open any schema.

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?

Gives an explicit when-to-use directive: 'Use it before giving advice so it fits this business,' which tells the agent the triggering condition. It also cross-references the sibling add_business_note whose data it surfaces, but stops short of naming what alternatives exist or any exclusion conditions.

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