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ArmandSwirc

TimeChimp MCP Server

by ArmandSwirc

get_mileage

Retrieve mileage entries from TimeChimp with filtering options for users, projects, dates, and custom queries.

Instructions

Retrieve all mileage entries from TimeChimp

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoMaximum number of mileage entries to return (1-10000, default: 100)
skipNoNumber of mileage entries to skip for pagination (default: 0)
countNoWhether to include the total count of results (default: true)
expandNoComma-delimited list of properties to expand (e.g., "user,project,customer")
user_idNoFilter by specific user ID
project_idNoFilter by specific project ID
customer_idNoFilter by specific customer ID
from_dateNoStart date for filtering (YYYY-MM-DD format)
to_dateNoEnd date for filtering (YYYY-MM-DD format)
filterNoOData filter expression (e.g., "distance gt 50" or "approved eq true")
orderbyNoOData orderby expression (e.g., "date desc" or "distance desc")
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Retrieve') but doesn't mention whether this requires authentication, has rate limits, returns paginated results, or what format the data comes in. For a tool with 11 parameters and no annotation coverage, this leaves significant behavioral questions unanswered.

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 a single, efficient sentence that states exactly what the tool does with zero wasted words. It's appropriately sized for a retrieval tool and front-loads the core functionality.

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?

For a tool with 11 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what 'mileage entries' contain, what format they return in, or how to interpret the various filtering options. The agent would need to rely heavily on the parameter schema alone without contextual guidance.

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?

The schema description coverage is 100%, with all 11 parameters well-documented in the schema itself. The description adds no additional parameter information beyond what's already in the schema, so it meets the baseline of 3 for high schema coverage without adding value.

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?

The description clearly states the verb ('Retrieve') and resource ('all mileage entries from TimeChimp'), making the purpose immediately understandable. It doesn't specifically differentiate from sibling tools like 'get_mileage_by_id' or 'get_mileage_status_history', but the scope ('all') provides some implicit distinction.

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 description provides no guidance on when to use this tool versus alternatives like 'get_mileage_by_id' for single entries or 'get_mileage_status_history' for status changes. There's no mention of prerequisites, access requirements, or typical use cases for retrieving all mileage entries versus filtered subsets.

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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