Skip to main content
Glama

assess_browseract_fit

Assess product-data tasks to choose free or existing APIs, reject unfit requests, or prepare a bounded Basic handoff; no commissioning or spend authorization.

Instructions

Choose free/existing API/reject/consider Basic based on need, never commission; prepare bounded task and official handoff. No authorization to spend.

Input Schema

NameRequiredDescriptionDefault
requestYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.1

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full load; it does disclose meaningful boundaries — the tool never commissions work and has no spending authority, and its output is a bounded task plus an official handoff. However it never states whether the operation is read-only, what artifact the handoff is, or what the caller receives, leaving the behavioral profile partly inferred.

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

Conciseness3/5

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

There is no filler and the word count is low, but the sentence is telegraphic to the point of being under-specified — 'consider Basic' and 'official handoff' are unexplained shorthand. Brevity here buys density at the cost of parseability.

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?

No output schema, no annotations, and a six-field nested input where zero fields are documented; the description should at minimum say what verdict/artifact the assessment emits and what the boolean flags gate. Neither is covered, so an agent cannot reliably construct the request or interpret the result.

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

Parameters2/5

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

Schema coverage is 0% for a nested request object containing six fields (product_urls, sources_permitted, recurring_cloud_need, existing_api_or_export, local_execution_sufficient, sensitive_or_login_required), most of which are ambiguous without prose. 'Based on need' faintly implies the booleans encode need factors, but no field is defined, so the description fails to compensate for the coverage gap.

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 description names decision outcomes (free / existing API / reject / consider Basic) but never states the subject being assessed — BrowserAct fit is only inferable from the tool name, and 'prepare bounded task and official handoff' muddies whether this is a decision tool or a preparation tool. It is distinguishable from validate_browseract_report/csv only by the word 'Choose', not by any explicit differentiation.

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?

'never commission' and 'No authorization to spend' are hard constraints, not routing guidance; nothing says when to call this instead of recommend_referral_service or prepare_referral_task, nor what precondition (e.g. a scoped task already identified) makes this the right first step.

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