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Meru-Fin-Tech

HelloBooks AI MCP Server

list_competitors

Compare HelloBooks with competitors like QuickBooks, Xero, and FreshBooks by viewing where each wins, pricing details, and optional filters for country, tier, or competitor ID.

Instructions

Return competitor positioning entries (QuickBooks, Xero, FreshBooks, Wave, Zoho Books, Tally) with where HelloBooks wins, where the competitor wins, and pricing notes. Optional country, tier (primary / secondary), and id filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoOnly return competitors whose primary market is this country, or who are also evaluated in this market.
tierNoFilter to head-on rivals (primary) or adjacent / segment-specific overlaps (secondary).
idNoReturn a single competitor by id (e.g. "quickbooks", "xero", "tally").
Behavior3/5

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

With no annotations, the description explains the output (winners, pricing) and optional filters, but does not disclose data freshness, source, or any restrictions. Adequate for a read-only list tool.

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, well-structured sentence that front-loads the action and output, with no unnecessary words.

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?

The description explains return values sufficiently given no output schema, covering the essential aspects. It could specify the structure of each entry, but is largely complete for a list tool.

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 coverage is 100% and the description merely repeats the optional filters without adding new semantic context or examples. Baseline score is appropriate.

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 the tool returns competitor positioning entries, listing specific competitors and describing the content (wins, pricing notes). It distinguishes from sibling tools like compare_books_to_hellobooks which perform different comparisons.

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?

The description implies the tool is used when competitor positioning info is needed, but does not provide explicit guidance on when to use it versus alternatives, such as compare_books_to_hellobooks or feature_search.

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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