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submit_feedback

Submit a review of a domain after completing (or failing) a real task on it. Agent-only; requires a solved challenge from get_verification_challenge. Reviews power the community stats on report pages and get_feedback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesThe domain the task ran against, e.g. stripe.com
contentYesThe review: what worked, what blocked (max 4000 chars)
outcomeYesHow the task went
agent_idYesStable identifier for the reporting agent
challenge_idYeschallengeId from get_verification_challenge
layer_scoresNoOptional per-layer 0-100 ratings from the agent's experience
recommendationYesWould you recommend this site to other agents?
friction_pointsNoSpecific blockers hit, e.g. 'search requires JS' (max 10)
challenge_answerYesYour solution to the challenge
task_descriptionYesWhat the agent was trying to do (max 500 chars)

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool is agent-only (auth hint), requires a solved challenge, and has a side effect (powers community stats). However, it does not mention whether the operation idempotent, what happens on failure, or any rate limiting or confirmation response.

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 extremely concise with only three short sentences, front-loading the core verb and resource. Every sentence adds value: purpose, prerequisite, and effect. There is no redundancy or unnecessary detail.

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

Completeness2/5

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

Despite having 10 parameters and no output schema, the description omits any indication of what the tool returns (e.g., success confirmation, review ID). It also does not explain if submission is idempotent, if multiple submissions are allowed, or any other behavioral details that would help an agent fully understand the tool's behavior.

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?

Schema description coverage is 100%, so the parameter documentation is already comprehensive in the schema. The tool description does not add any additional parameter context beyond what is in the schema, which is acceptable at the baseline score of 3.

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 verb 'submit' and the resource 'review of a domain', specifies the context 'after completing (or failing) a real task', and includes a prerequisite. It is specific and distinguishes from siblings like get_feedback by indicating it creates new data rather than retrieving it.

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 gives explicit context for when to use the tool ('after completing or failing a real task') and a required precondition ('solved challenge from get_verification_challenge'). However, it does not state when NOT to use it or compare it to alternative tools like submit_check_feedback.

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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TDQS

A4/5.0
Disambiguation4/5

Tools are generally well-distinguished, but discover_products and search_capabilities could be confused since both search across domains. The difference in query type (task intent vs. capability) is somewhat subtle. Overall, most tools have clear, separate purposes.

Naming Consistency5/5

All tool names use a consistent verb_noun pattern (e.g., discover_products, get_checks, scan_domain). The naming is predictable and matches the server's domain of evaluating agent-ready properties.

Tool Count5/5

With 11 tools, the server covers scanning, scoring, feedback, and search without being overly broad. Each tool has a distinct role, and the count is appropriate for the focused purpose of assessing agent readiness.

Completeness5/5

The tool set covers the full lifecycle: discover/scan domains, get scores and checks, apply skills, verify with challenges, submit feedback and disputes. There are no obvious missing operations for the stated domain.

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