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camelot_expense_log_analyzer

Idempotent

Categorize business expenses, identify tax-deductible items, and export expense reports from a list of transactions.

Instructions

Expense Log & Analyzer: Categorize business expenses, identify tax-deductible items, and export expense reports.. Local browser processing. Canonical URL: https://www.camelotwebtools.com/tools/expense-log-analyzer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expensesNoList of business or project expense items

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYesExecution status of the tool (success or error)
prefillUrlYesDirect deep-link URL to view, edit, and export in Camelot Web Tools
canonicalUrlYesCanonical web URL for this tool on camelotwebtools.com
documentTitleYesTitle of the generated document, report, or calculation output
documentMarkdownYesComplete structured output and body formatted in clean Markdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already establish idempotence and non-destructiveness, and the description adds one useful behavioral detail: processing happens locally in the browser. It does not clarify whether 'export expense reports' produces downloadable files or other side effects, but given the annotation coverage this is an adequate disclosure.

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

Conciseness3/5

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

The functional sentence is compact and front-loaded, and the local-processing note earns its place. However, the canonical URL is extraneous for tool selection and invocation, and the doubled period after 'reports' is a minor structural flaw.

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

Completeness4/5

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

For a single-parameter tool with full schema coverage and an output schema, this description is nearly complete: it states the tool's purpose, processing locality, and key outputs. The main missing element is routing guidance, which is already factored into the usage_guidelines score.

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 expenses object and its fields are already fully documented. The description adds no parameter-level meaning beyond the schema, which makes the baseline score of 3 appropriate.

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 names three concrete behaviors—categorize business expenses, identify tax-deductible items, and export expense reports—so an agent knows what the tool does. It is not a tautology and does not rely only on the tool's name, though it does not explicitly distinguish it from finance siblings like camelot_tax_estimator or camelot_receipt_itemizer.

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?

No guidance is given for when to use this tool versus related siblings such as camelot_tax_estimator, camelot_receipt_itemizer, or camelot_bank_csv_normalizer. The local-browser-processing note hints at a privacy-relevant use case, but there is no explicit workflow, prerequisite, or exclusion statement.

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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