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Lovie Company Formation

List Global Counterparties

counterparty_get_list_global_counterparties
Read-only

GetListGlobalCounterparties performs a read-only batch lookup against the platform-wide canonical vendor registry. The filter accepts a list of provider stable IDs and/or aliases; the response returns every approved row matching ANY selector. Used by the cheap-resolve worker to short-circuit LLM enrichment for a whole batch in one RPC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterYes
pageSizeNo
pageTokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalCountNo
nextPageTokenNo
globalCounterpartiesNo

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description reinforces this with 'read-only batch lookup'. It adds valuable behavioral context: the filter matches 'ANY' selector and returns only 'approved rows', and the scope is the 'platform-wide canonical vendor registry'. This goes beyond the annotations, though it does not mention pagination behavior or potential truncation.

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 three sentences, front-loaded with the core purpose, and every sentence adds information. It avoids redundancy with the schema and annotations, making it both concise and structurally effective.

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?

Given the complexity (nested filter, pagination) and the presence of an output schema, the description covers the essential behavioral aspects: read-only, global scope, batch filter semantics, and OR matching. It does not explain pagination, which might be expected for a list tool, but the use case ('whole batch in one RPC') suggests it may return all matches. Overall, it is complete enough for an agent to use effectively, with minor gaps around pagination.

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 0%, so the description must compensate. It explains the filter's key semantics: 'accepts a list of provider stable IDs and/or aliases', which covers the filter object's properties. However, it provides no additional meaning for pageSize or pageToken, leaving those parameters entirely to the schema. The description adds value for the complex filter but does not fully compensate for all parameters.

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 performs a 'read-only batch lookup' against the 'platform-wide canonical vendor registry', which distinctly differentiates it from sibling tools like counterparty_get_counterparty (singular) and counterparty_get_list_counterparties (non-global). It also specifies the OR-matching semantics ('matching ANY selector'), making the purpose unambiguous.

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

Usage Guidelines4/5

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

The description provides a concrete use case: 'Used by the cheap-resolve worker to short-circuit LLM enrichment for a whole batch in one RPC.' This implies when to use the tool, but it does not explicitly name alternatives or state when not to use it. The batch and platform-wide context is clear, but explicit exclusion guidance is absent.

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

C2.5/5.0
Disambiguation1/5

Multiple tool pairs are nearly identical (formation_extract_cap_table / formation_extract_cap_table_ocr; formation_start_formation / formation_create_formation), and several tools lack descriptions, making selection ambiguous. The scale of 202 tools with overlapping summaries (e.g., multiple cap-table summary tools) compounds the confusion.

Naming Consistency3/5

Dominant snake_case `module_verb_noun` pattern, but with notable deviations: `captable_send_safe_for_signature` uses an inconsistent abbreviation, `check_company_name_availability` lacks a module prefix, and `get_list_` vs `list_` prefixes are mixed. Readable but not fully consistent.

Tool Count1/5

202 tools is far beyond any reasonable surface for a single server, even a broad platform. The sheer number overwhelms and makes tool discovery impractical; many tools are peripheral (ads metrics) to the core formation purpose.

Completeness4/5

The domain appears well covered: formation flows, cap-table lifecycle (import, close, simulate), accounting (journal entries, periods, schedules), cards, documents, and transactions all have CRUD or lifecycle operations. Minor gaps exist (e.g., no card deletion, no counterparty creation), but they are unlikely to cause dead ends.