Skip to main content
Glama
brilliantdirectories

brilliant-directories-mcp

Official

listLeads

Read-onlyIdempotent

Paginated enumeration of lead records. Use for pulling the admin lead inbox, generating reports, or iterating leads to push into a CRM.

Instructions

List leads - Paginated enumeration of lead records. Read-only.

Use when: pulling the admin's lead inbox, generating lead reports, or iterating all leads to push into a CRM. For fetching one lead by ID use getLead.

Pagination: cursor-based (limit, page). See Rule: Pagination for full cursor/cap/stop semantics.

Filter/sort: property+property_value+property_operator, order_column+order_type. See Rule: Filter operators for the verified-working operator set, silent-drop detection, and derived-field unfilterability.

See also: getLead (single record by ID).

Returns: { status: "success", total, current_page, total_pages, next_page, prev_page, message: [...records] }. Each record is the full resource object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPagination cursor (use next_page from previous response)
limitNoRecords per page (default 25, max 100)
propertyNoColumn key to filter by (present on the response rows; a wrong name silently returns empty). For multi-condition AND, pass parallel arrays here and in `property_value`/`property_operator` — equal length, Nth entries paired. See Rule: Compound filters.
order_typeNoSort direction: ASC or DESC
order_columnNoColumn to sort by — a column key present on the response rows (a wrong name silently returns empty)
property_valueNoValue to filter by; array to pair with a `property` array (same length).
property_operatorNoFilter operator (word-form; symbol forms WAF-stripped). Single: eq, ne, lt, lte, gt, gte, like, not_like. CSV: in, not_in, between. Substring: contains, starts_with, ends_with (+not_). Date: year_eq, month_eq, day_eq (+not_), since_days, until_days. Length: length_eq, length_lt, length_gt, length_between. Null: is_set, is_not_set, is_null, is_not_null. Array to pair with a `property` array (same length). See Rule: Filter operators for value shapes.
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds valuable behavioral context beyond annotations: cursor-based pagination (limit, page), filter/sort mechanics, silent-drop detection, derived-field unfilterability, and the exact return structure. No contradiction with annotations.

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 highly structured with headings, bullet points, and clear sections. Every sentence adds value, and it is appropriately sized for the tool's complexity. It front-loads the core purpose and uses references to external rules to avoid 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?

Given the tool's complexity (7 parameters, pagination, filters, and no output schema), the description covers all essential aspects: when to use, pagination behavior, filter/sort details, return format, and key rules. It references relevant rules for full depth, making it complete for an AI agent.

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% with detailed parameter descriptions. The description does not add significant meaning beyond the schema; it references external rules (Rule: Pagination, Rule: Filter operators) and mentions compound filter behavior, but the schema already explains that. Baseline 3 is appropriate since the schema carries the heavy lifting.

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 leads - Paginated enumeration of lead records. Read-only.' It specifies the verb (list), resource (leads), and key characteristic (paginated, read-only). It distinguishes from sibling tools like getLead by stating 'For fetching one lead by ID use getLead.'

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

Usage Guidelines5/5

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

The description provides explicit use cases: 'pulling the admin's lead inbox, generating lead reports, or iterating all leads to push into a CRM.' It also explicitly tells when not to use it and suggests an alternative: 'For fetching one lead by ID use getLead.' This gives clear guidance on when to use vs. alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/brilliantdirectories/brilliant-directories-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server