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

With no annotations provided, the description fully discloses behavioral traits: it is a write operation that persists data, supports partial updates and null removal, and grounds subsequent launches. It also explains the historical context (P88) and the effect on launches.

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 well-structured: a concise one-line summary followed by context and usage details. Every sentence adds value. It is somewhat long but appropriate for the complexity; could be slightly trimmed without losing clarity.

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?

Given no output schema and the tool being a mutation, the description does not explain return values or success/failure indicators. It adequately describes inputs and effects but leaves agents guessing about the response, which is a gap.

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?

All parameters have schema descriptions (100% coverage), but the description adds significant extra meaning: it lists the specific fields the profile object may contain and how updates/removals work, which is not in the schema. This enriches the agent's understanding beyond the input schema.

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 clearly states the tool sets the workspace's persistent company profile. It uses specific verbs ('set') and resources ('company profile') and provides context about its role in the ChiefLab pipeline, distinguishing it implicitly from the sibling tool 'chieflab_get_company_profile'.

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 explicitly explains how to use the tool: 'Pass partial maps to update specific fields; pass null for a field to remove it.' It implies when to use it (once to store company facts). However, it does not explicitly state when not to use it or mention the alternative get tool, but the sibling context makes it clear.

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