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faf_human_add

Add human context to a project by setting one of the six W fields (who, what, why, where, when, how) to provide background for AI interactions.

Instructions

🧡 Add a human_context field (who/what/why/where/when/how) - Non-interactive for MCP 🧡⚡️

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldYesThe 6 W field to set
valueYesThe value to set for the field
pathNoProject path. Sets session context for subsequent calls.
Behavior3/5

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

Annotations already indicate a non-read-only, non-destructive operation. The description adds that it is 'Non-interactive for MCP,' which is a behavioral trait beyond annotations. However, it does not disclose other traits such as permission requirements or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise, consisting of a single sentence with relevant emojis. It is front-loaded and wastes no words, but it could be slightly more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simple nature and no output schema, the description is adequate but lacks information beyond the basic purpose. It does not explain return values or how the field integrates with other tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All parameters are fully described in the input schema, so the description adds no additional meaning. With 100% schema coverage, the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Add' and specifies the resource 'human_context field' with the 6 W fields. However, it does not differentiate from sibling tools like 'faf_context', which may have a similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. There is no mention of context or comparison with siblings.

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

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