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List projects

easybill_list_projects
Read-onlyIdempotent

Fetch projects from easybill using filters like status or customer ID, with page-based pagination. Includes budget and consumed time/amount to monitor project progress.

Instructions

List projects from easybill with optional filters and pagination.

Projects group documents and tracked time under a customer engagement, with an optional budget. 'consumed_amount' and 'consumed_time' show progress against 'budget_amount' and 'budget_time' — useful for budget-burn questions. Amounts are integers in cents; times are in minutes.

Returns a compact field set by default; pass 'fields' for specific columns or ['all'] for everything.

Returns: { total, count, page, pages, has_more, next_page, items[] }. Use 'next_page' to continue paging. Monetary values are integers in cents (150 = 1.50 EUR).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1. Use 'next_page' from a previous response to continue.
limitNoItems per page, 1-1000 (default 25). Keep this small unless you need bulk data.
fieldsNoLimit returned columns to these field names (e.g. ['number','amount','paid_at']). Pass ['all'] for every field. Omit for a compact default set. Fewer fields = less context used.
statusNoFilter by project status.
customer_idNoFilter by customer ID. Accepts one value or a list of values.
response_formatNoOutput format: 'markdown' for readable prose, 'json' for machine-readable datamarkdown
Behavior4/5

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

Beyond the readOnlyHint/idempotentHint annotations, the description discloses the return envelope structure, 'next_page' continuation mechanism, default field behavior versus 'fields': ['all'], and unit conventions (amounts in cents, times in minutes). This adds meaningful behavioral context without contradicting any annotations.

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

Conciseness4/5

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

The description is front-loaded with the core purpose, then logically expands to concept context, field selection, and return format. At about 150 words, it is slightly longer than ideal but every sentence adds useful information with no fluff 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?

Since there is no output schema, the description fully covers the return format ({ total, count, page, pages, has_more, next_page, items[] }), pagination mechanics, and unit semantics. Combined with thorough parameter schema and safety annotations, an agent has all the information needed to invoke this tool correctly.

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 input schema has 100% coverage with detailed descriptions for all six parameters, including pagination and field selection. The description largely repeats 'fields' behavior and 'next_page' guidance already present in the schema, so it adds minimal new meaning beyond what the schema provides. Baseline 3 applies due to high schema coverage.

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 clearly states 'List projects from easybill with optional filters and pagination.' This is a specific verb+resource combination that distinguishes it from sibling tools listing documents, customers, or time trackings. The mention of filters and pagination adds further precision.

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

Usage Guidelines4/5

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

The description gives context on what projects are ('group documents and tracked time under a customer engagement') and suggests a concrete use case ('useful for budget-burn questions'). It does not explicitly name alternative tools or exclusion conditions, so it falls short of a 5, but the context is clear enough for an agent to decide when to use this tool.

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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