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Bind ERP MCP by usefulapi

List clients

binderp_list_clients
Read-only

List customers: id, number, name, legal name, RFC, email, phone, next contact date and branch. Filter with OData, e.g. substringof('acme', ClientName). GET /api/Clients.

Input Schema

NameRequiredDescriptionDefault
topNoRows per page, 1-100 (default 25).
skipNoRows to skip (default 0). Pass the previous reply's next_skip to get the next page.
filterNoOData $filter, e.g. substringof('acme', ClientName). Text uses single quotes, functions such as substringof('abc', Field) and operators eq ne gt ge lt le and or are supported; a GUID is written guid'3f2504e0-4f89-11d3-9a0c-0305e82c3301'. Dates: datetime'2026-10-01T00:00:00'.
orderbyNoOData $orderby, e.g. 'Date desc' or 'Title'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the underlying endpoint (GET /api/Clients) and the returned field set, which is useful, but says nothing about pagination behavior or result volume beyond what the schema documents.

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 dense, front-loaded sentences plus the endpoint: the field list leads, the filtering hint follows, and nothing is wasted. Every clause carries information an agent can use.

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?

With no output schema, listing the returned fields is exactly the right compensation, and the filter syntax example rounds it out. Pagination via top/skip/next_skip is covered by the schema, so the only mild gap is not mentioning it at all in the description.

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% and each of the four parameters is well documented there, so the baseline is 3. The description's OData example duplicates the schema's filter example rather than adding new semantics such as how orderby interacts with filtering.

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?

States a specific verb and resource ('List customers') and enumerates the returned fields, so an agent understands exactly what it gets back. It doesn't explicitly differentiate from siblings like binderp_get_client or binderp_list_prospects, but the plural list shape is clear enough. Minor terminology drift (customers vs. clients) is harmless.

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?

Usage is only implied: the OData filter example shows how to narrow results, but there is no statement of when to use this versus binderp_get_client (single record) or binderp_list_prospects. An agent can infer context but must reason about alternatives on its own.

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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