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ol_bdc_common_borrowers

Read-only

Borrowers common to a GIVEN SET of BDCs -- the cross-portfolio set question ('what do ARCC, OBDC and AGTC all lend to?') in ONE call. Returns per borrower: borrower, borrower_norm, holder_count, holder_tickers, holders ([{ticker, name}]), total_fair_value and total_par_amount in USD, and as_of_oldest/as_of_newest. Each BDC is read at ITS most recent filing, so rows MIX filing dates -- read as_of_range before treating the marks as contemporaneous. Debt positions only. Caps: bdc_tickers truncated at 25, limit 50/200, min_holders max 50. Feed a borrower_norm to ol_bdc_borrower_dispersion for cross-lender pricing. Source: SEC EDGAR BDC schedules of investments (Oxford Ledge parse -- ol-derived); FREE. Caveats ride the response's tool_notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax borrowers to return (default 50, max 200)
bdc_tickersYesBDC symbols to intersect, e.g. ["ARCC","OBDC","AGTC"] (max 25)
min_holdersNoMinimum number of the supplied BDCs that must hold the borrower (default 2, min 2 -- this answers what is SHARED; for one BDC's book use ol_bdc_top_borrowers)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only declare readOnlyHint, so the description carries the burden and delivers: it warns that each BDC is read at its most recent filing so rows MIX dates and as_of_range must be read before treating marks as contemporaneous, notes debt positions only, names the source (SEC EDGAR schedules of investments, ol-derived), flags FREE, and states caveats ride in tool_notes.

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?

Dense but front-loaded: the core question comes first, then return fields, then the critical as_of caveat, then caps, cross-tool pointer, source and provenance. Every clause carries operational information.

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?

With no output schema, the description enumerates the returned fields (borrower, borrower_norm, holder_count, holder_tickers, holders, total_fair_value, total_par_amount, as_of_oldest/as_of_newest), discloses caps and data-source caveats — everything an agent needs to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3; the description adds behavioral meaning by stating the caps as truncation rules (bdc_tickers truncated at 25, limit 50/200, min_holders max 50) and by explaining what min_holders semantically answers ('what is SHARED').

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?

States a specific verb+resource with scope: the cross-portfolio borrower intersection across a given set of BDCs, illustrated with a concrete question. It implicitly distinguishes itself from ol_bdc_top_borrowers (single BDC's book) and points to ol_bdc_borrower_dispersion as the follow-on.

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?

Clear when-to-use framing ('common to a GIVEN SET of BDCs') and the schema's min_holders text routes single-BDC lookups to ol_bdc_top_borrowers, with a pointer to ol_bdc_borrower_dispersion for pricing. No explicit when-not-to-use statement beyond that, so not a full 5.

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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