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Match a camt.053 statement against a counterpart expectation set

recon_match
Read-onlyIdempotent

Parses a camt.053.001 statement (same schema-subset checks as camt053_parse) and a counterpart expectation set (CSV, header EndToEndId,Amount,Currency,Date -- same strict RFC 4180 parser as the WORKBOOK-1 CSV tools), then runs the SAME deterministic match engine as the tools/565 browser workbench: EndToEndId exact match first (statement order), then amount+date tolerance + currency match (first unmatched expectation in CSV order). Returns matches, exceptions (unmatched entries/expectations), and a reconciliation receipt (statement digest, expectation-set digest, match-rule declaration, counts, exception digests, execution_hash) -- byte-identical to the browser tool for the same inputs. Prepare/hash/receipt only; per-exception disposition receipts are the browser workbench's interactive follow-on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statement_xmlYescamt.053.001 XML statement document text.
amount_toleranceNoAbsolute amount-match tolerance (default 0.01).
expectations_csvYesCounterpart expectations, CSV with header EndToEndId,Amount,Currency,Date.
date_tolerance_daysNoDate-match tolerance in days (default 0).

TDQS

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, openWorldHint=false, idempotentHint=true, destructiveHint=false. The description reinforces idempotency and non-destructiveness by stating it is 'byte-identical' and 'prepare/hash/receipt only'. It adds context about the matching engine being 'deterministic' and the output being a receipt with an execution hash, which goes beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that front-loads the core action. It is somewhat verbose but each sentence adds value (input formats, matching algorithm, output structure). Could be slightly more concise, but it is well-structured and readable.

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 complexity of the tool (two inputs, specific matching rules, detailed output), the description covers all necessary aspects: input format constraints, matching order (EndToEndId exact then amount+date tolerance+currency), output components (matches, exceptions, receipt with digest and execution hash). Without an output schema, the description effectively explains return values, making it complete.

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 coverage is 100% with descriptions for all 4 parameters. The description adds extra context: for expectations_csv it mentions 'same strict RFC 4180 parser as the WORKBOOK-1 CSV tools', and for amount_tolerance it states 'default 0.01' (also in schema description). For statement_xml and date_tolerance_days, the description adds minimal additional value. Since schema already covers basics, the description provides modest extra semantics, warranting a 3.

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 parses two inputs (camt.053 statement and CSV expectations), runs a deterministic match engine, and returns matches, exceptions, and a reconciliation receipt. It distinguishes itself from siblings like 'camt053_parse' (only parses) and 'match_confirmations' (different matching).

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 explains that this tool is for initial reconciliation (prepare/hash/receipt only) and that per-exception disposition is handled by the browser workbench. It provides context on when to use it but does not explicitly exclude alternatives or mention when not to use it.

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

C2.4/5.0
Disambiguation1/5

Nearly every tool is an 'OpenChainGraph compute node' with identical boilerplate, and dozens of assess/check/validate/verify/lint/recompute verbs overlap heavily in purpose. An agent cannot reliably tell which of many similarly scoped tools should handle a given compliance or analytics question.

Naming Consistency2/5

Most names are snake_case, so there is superficial consistency, but the verb vocabulary is enormous and unpredictable, mixing build/compute/check/validate/verify/lint/assess/classify/score/reconcile and more. Several noun-first names such as pain001_validate, recon_match, and ha_record_validate further break the pattern.

Tool Count1/5

695 tools is far beyond any practical agent-facing surface, exceeding even the extreme end of the calibration range. This is a full product catalog dumped into one MCP server rather than a curated, usable tool set.

Completeness3/5

The suite covers an extremely wide range of fintech and regulatory calculators, validators, chain tools, and discovery utilities, so coverage is broad rather than thin. However, the lack of a clear domain boundary makes completeness nearly impossible to assess, and the heavy overlap suggests the surface was generated rather than intentionally designed.