Skip to main content
Glama

Flux LinkedIn MCP

Get Usage History

get_usage_history

Return recent credit_ledger transactions for the authenticated user. Filter by tool name, reason, or date range. Paginated. Free.

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows to return
reasonNoFilter by ledger reason
date_toNoEnd date (ISO 8601)
date_fromNoStart date (ISO 8601)
tool_nameNoFilter to a specific MCP tool

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose two real traits: results are paginated and the call is free (no credit charge). It omits sort order, what 'recent' means numerically, whether pagination is offset- or cursor-based, and any auth scope detail beyond 'authenticated user'.

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?

Four terse fragments, front-loaded with the resource and followed by filters, pagination, and cost. Every clause adds a distinct fact and there is no filler.

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?

For a five-parameter read tool with no annotations and no output schema, the description covers scope and pagination but says nothing about the shape of a ledger entry (amount, reason, tool, timestamp) or ordering. An agent knows how to call it but not what it will get back.

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 schema already documents limit, reason enum, date bounds, and tool_name. The description only restates the filter dimensions at a high level without adding format or semantics, so it cannot exceed the baseline.

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

Purpose4/5

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

States a specific verb and resource: returns credit_ledger transactions scoped to the authenticated user. An agent can distinguish it from balance-checking tools like get_credit_balance, though the description never explicitly names that distinction.

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

Usage Guidelines3/5

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

Usage is implied rather than stated — filtering by tool/reason/date suggests an audit or spend-review use case, and 'Free' signals it can be called without credit cost, a useful nudge against cost-related siblings. But there is no explicit when-to-use or when-not-to-use guidance and no named alternative such as get_credit_balance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources