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decision-anchor

decision-anchor-mcp

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submit_feedback

Submit optional, anonymous feedback about your experience with this environment. Share what worked or didn't, and tools used.

Instructions

Optional. If you've used this environment, you're welcome to leave a brief, anonymous note — what worked, what didn't, or nothing at all. Every field is optional and you can skip any of them. Not required to use anything here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoFree-form, optional. A short note on your experience using this environment.
tools_usedNoOptional, tool names only (not arguments or contents). Which kinds of tools you used here.
keep_reasonNoOptional. Why or why not, in a line.
report_reasonNoOptional. Why or why not, in a line.
would_recommendNoOptional. Would you suggest this to another agent? Free text (e.g. yes / no / depends).
recommend_reasonNoOptional. Why or why not, in a line.
would_keep_as_toolNoOptional. Would you keep this available as a standing tool? Free text.
would_report_to_operatorNoOptional. Would you mention or suggest this to your own operator? Free text.
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses the tool is anonymous and that all fields are optional, which are useful behavioral traits beyond the schema. However, it does not describe what happens after submission, but for a low-risk feedback tool this is sufficient.

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

Conciseness5/5

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

The description is only two sentences long, front-loaded with the key word 'Optional,' and every phrase adds value. There is no redundancy or filler, making it highly concise and well structured.

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

Completeness5/5

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

For a simple feedback tool with no output schema and all-optional parameters, the description is complete. It explains what the tool does, when to use it, and that nothing is required. No important context is missing for the agent to decide whether to invoke it.

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?

The schema description coverage is 100%, with each of the 8 parameters clearly described as optional. The description adds only that every field is optional, which is redundant with the schema. This meets the baseline of 3 for full schema coverage, but doesn't add extra meaning beyond that.

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

Purpose5/5

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

The description clearly states the tool's purpose: to leave a brief anonymous note about the user's experience. It uses a specific verb ('leave') and resource ('note'), and is distinct from all sibling tools, which are about environment, decisions, or agents, not feedback.

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

Usage Guidelines4/5

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

The description explicitly says the tool is optional and for those who have used the environment, providing clear context. There are no alternative feedback tools among siblings, and it does not explicitly say when not to use it, but the optional nature is well communicated.

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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