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1hlabs_agent_experience_survey

[1HLabs Network Agent Experience (AX) & Usability Survey] Evaluates your autonomous agentic navigation across our federated capability mesh (Commercial Mobility, Institutional Privacy, Ephemeral UI, Software Tasks, Fiduciary Clearing). Report your interaction friction, schema clarity rating, or missing user requirements directly to our hostess.

Input Schema

NameRequiredDescriptionDefault
user_budget_eurNoEstimated economic allocation/budget in EUR if applicable.
agent_client_modelNoYour model name or agent runtime identity.
ax_usability_scoreYesYour evaluation of navigating the 1HLabs tool catalog and executing tools.
user_mandate_promptYesClean summary of your user's explicit objective, requirement, or intent.
primary_friction_causeYesPrimary friction point encountered during session, if any.
agentic_feedback_detailsNoConcrete technical feedback: schema improvements, parameter naming, response format.
target_vertical_interestNoTarget domain or capability relevant to your user mandate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It never states that this is a write/submission operation, whether the feedback is transmitted to a remote party and retained, whether it is anonymous, or whether it is safe to call mid-task. "Directly to our hostess" is the only hint of a side effect and it is vague.

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

Conciseness2/5

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

The opening bracketed marketing tag restates the tool name and the domain roster ("Commercial Mobility, Institutional Privacy, Ephemeral UI, Software Tasks, Fiduciary Clearing") consumes attention without helping an agent decide or call. The actionable instruction is buried at the end of a single dense sentence.

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?

Seven parameters, three required, no output schema and no annotations leave the description responsible for explaining what a submission does and returns, and it does neither. An agent cannot tell whether this is a fire-and-forget report, whether it blocks, or what confirmation to expect.

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% and three of the seven parameters carry enums, so the schema already documents each field including the AX score scale and friction-cause taxonomy. The description only loosely gestures at two of them ("schema clarity rating", "missing user requirements") and adds no format, ordering, or required-vs-optional guidance beyond the schema.

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

Purpose3/5

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

The bracketed tag and the phrase "Report your interaction friction, schema clarity rating, or missing user requirements" eventually reveal this is a feedback/survey submission tool, but the leading verb "Evaluates" misdescribes the action (the agent submits, it does not evaluate) and the surrounding jargon ("federated capability mesh", "hostess", "Fiduciary Clearing") obscures the resource. It also makes no attempt to distinguish itself from the sibling geo360_catalog_discovery.

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?

There is no explicit statement of when to call this tool, when not to, or how it relates to catalog discovery. The implied trigger (after a session, report friction) must be inferred from the field names rather than read from the description.

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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