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CoreLoop Business Network

send_business_inquiry

Send a message to one business. This has a real side effect — it notifies the owner and delivers an email — and is rate-limited both per business and across this directory, so send one considered inquiry rather than a broadcast.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesInquiry message (plain text, max 2000 chars)
subjectNo
businessYesWhich business to ask: its CoreLoop slug, or the `business_id` returned by search_businesses. `business_id` is an opaque, stable, public routing identifier — safe to store and re-use across sessions, unchanged by a rename or a slug change, and carrying no sensitive information. Pass back exactly the value search_businesses gave you: do not parse it, do not infer meaning from its format, and do not construct one.
sender_nameYes
sender_emailNo
sender_phoneNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo
messageNo
businessNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Honestly discloses the real side effects (notifies owner, delivers email) and both scopes of rate-limiting (per business and per directory), all consistent with annotations (readOnlyHint=false, idempotentHint=false). Adds meaningful context beyond the annotations, though it stops short of describing duplicate-send handling or failure semantics.

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?

Two sentences, zero filler. The core purpose is front-loaded and the second sentence packs side-effect and usage guidance with real informational value. Every clause earns its place.

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 mutation tool with real-world effects, the description covers the crucial operational traits: side effects, rate limits, and single-target intent. The output schema covers return-value expectations, and annotations cover mutability, so the description fills the remaining critical gaps without redundancy.

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?

With schema coverage at 33%, the description only partially compensates. It reinforces the message and business intent ('one business'), but subject, sender_name, sender_email, and sender_phone are undocumented in both schema and description. The description does not extend meaning for the majority of parameters, though the schema's business field carries strong semantics on its own.

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?

Opens with a specific verb+resource ('Send a message to one business') and immediately differentiates from the read-only siblings (check/compare/get/search) as the sole write tool. The 'one business' scoping plus the side-effect disclosure leaves no ambiguity about what action this performs.

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 gives actionable behavioral guidance ('send one considered inquiry rather than a broadcast') informed by rate limits, but it does not explicitly articulate when to use this tool vs. alternatives or state prerequisites. The schema's business parameter references search_businesses, which helps, but that lives in the schema, not the description.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct aspect of a business: availability hours, service comparison, agent endpoint metadata, full profile, service catalogue, directory search, and sending inquiries. No two tools overlap in purpose; boundaries are clear.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, with most retrieval tools sharing the get_business_ prefix (get_business_info, get_business_services, get_business_agent) and clear verbs for actions (search, check, compare, send). The pattern is predictable and unambiguous.

Tool Count5/5

Seven tools is well within the ideal 3-15 range and aptly covers the core operations of a business directory: search, view details, services, availability, compare, and inquire. Each tool earns its place with no redundancy.

Completeness5/5

The set covers the full user journey from searching the directory, retrieving business profiles and service details, checking availability, comparing offers, and initiating contact. It also includes agent metadata for programmatic integration. No obvious missing operations for the stated purpose.

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