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Get User Gettokenbalance

hgr_get_user_gettokenbalance
Read-onlyIdempotent

Dedicated HGRApi tool for GET Api/User/GetTokenBalance. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Provides the GET get token balance operation in visible user data. Use when: Use it when a client needs to run the get token balance operation for visible user data. Input: No explicit input parameters required. Output: Returns the result or applies the effect of the get token balance operation. Search terms: user gettokenbalance.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered structurally. The description's only extras—'fixed endpoint, not a generic endpoint caller' and 'no explicit input parameters'—are thin, and phrases like 'returns the result or applies the effect' disclose nothing about auth, rate limits, or what the balance represents.

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 text is padded with boilerplate: the 'not a generic endpoint caller' disclaimer, a 'Search terms' trailer, and section labels whose contents repeat each other ('get token balance operation for visible user data' appears three times). The useful content could fit in one sentence, so the signal-to-noise ratio is poor.

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

Completeness3/5

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

An output schema exists, so return values need not be explained, and the read-only/no-param nature of the call is fully covered. What remains missing is the domain meaning of 'token balance' and its relationship to the token-history sibling—context an agent needs to pick this tool confidently.

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 takes zero parameters, so the baseline is 4; the description correctly states 'No explicit input parameters required', which is consistent with the empty schema. There is nothing further it could add on parameter semantics.

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 a specific verb and resource ('GET Api/User/GetTokenBalance') and scopes it to 'visible user data', so the basic operation is identifiable. However, it never clarifies what a 'token balance' is or how it differs from the closest sibling hgr_get_user_gettokenhistory, leaving the agent to infer the distinction from names alone.

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?

The 'Use when' clause merely restates the purpose ('when a client needs to run the get token balance operation'), adding no decision criteria. There is no mention of when not to use it, no prerequisites, and no pointer to the sibling gettokenhistory tool that an agent would reasonably confuse it with.

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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