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Unphurl

by io.github.123Ergo

get_balance

Read-onlyIdempotent

Check your pipeline check credit balance. Shows credits remaining, total purchased, total used, and lifetime free lookups count.

Credits are consumed only when unknown domains run through the full analysis pipeline. Known domains (Tranco Top 100K) and cached domains (previously analysed by any Unphurl customer) are always free.

If credits_remaining is 0, you can still check known and cached domains for free. To check unknown domains, purchase more credits using the "purchase" tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description goes beyond by disclosing the criteria for credit consumption, the free lookup eligibility, and the behavior at zero credits. This adds valuable behavioral context that annotations cannot convey.

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 well-organized and front-loaded with the core purpose. Three paragraphs efficiently cover the purpose, consumption policy, and fallback behavior. Every sentence provides distinct value, with no filler or redundancy.

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?

With no parameters and no output schema, the description carries the full burden of explaining what the tool returns and when it is useful. It lists the return fields and explains the edge case of zero credits, making the tool fully understandable in context.

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

Parameters4/5

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

The tool has zero parameters, so the schema is trivially complete. The description does not need to explain parameters, and none of the text is spent on them. Baseline for 0 params is 4, which is appropriate here.

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 opens with a specific verb+resource: 'Check your pipeline check credit balance.' It explicitly lists the output fields (credits remaining, total purchased, total used, lifetime free lookups), making the tool's purpose unmistakable and distinguishing it from all sibling tools.

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

Usage Guidelines5/5

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

The description provides clear when-to-use guidance by explaining the credit consumption model (unknown domains cost credits, known/cached are free). It also states what to do when credits are exhausted and directs users to the 'purchase' tool, an explicit alternative.

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

A4.3/5.0
Disambiguation4/5

Most tools have clearly distinct purposes: check_url vs check_urls distinguish single vs batch, allowlist CRUD tools are separated, and profile management is distinct from account billing. Minor overlap exists between get_balance and get_stats (both report balance) and between list_profiles and show_defaults (both relate to scoring configuration), but descriptions clarify the differences.

Naming Consistency4/5

The vast majority of tools follow a verb_noun snake_case pattern (check_url, create_profile, list_allowlist, get_balance). A few outliers like purchase and signup are single verbs, but they are standard and do not break the overall predictability.

Tool Count4/5

18 tools is above the ideal 3-15 range but appropriate for the server's broad scope: URL analysis, custom scoring profiles, allowlist management, account billing, and reporting. Each tool serves a distinct function and none feel redundant or superfluous.

Completeness4/5

The tool surface covers the core domain thoroughly: single and batch URL checks, credit estimation, profile CRUD (create, list, delete, show defaults), allowlist CRUD, history, and account management (signup, balance, pricing, purchase). Minor gaps exist, such as no delete history or direct retrieval of a single past check by ID, but these are not critical.

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