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schedule-iii

Read partner or owner capital schedule

get_partner_capital
Read-only

Read the partner or owner capital schedule currently on file — Note 3a and Note 3b. THIS RETURNS PEOPLE’S NAMES, along with each person’s profit-sharing ratio and amounts. Call it before save_partner_capital so you can show your user what is on file and what your change would do — that save replaces the whole section, so a schedule you cannot see is a schedule you cannot safely replace. It also returns the total of the capital-account profit-sharing ratios, because Datavrn warns about a total that is not 100% only when at least two rows carry a ratio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (default 50, max 200).
offsetNoRows to skip (default 0).
client_idYesThe entity (client) id — from list_clients.
period_idYesThe reporting period id — from list_periods.
template_idYesThe statement template id (e.g. 'schedule3_v1' Division I; see list_snapshots/workspace).
account_kindNoLimit to one section: 'capital' is Note 3a, 'current' is Note 3b. Omit for both.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, but the description adds meaningful behavioral detail: it returns people's names, profit-sharing ratios, amounts, and the total of ratios. It also explains why the total is returned (Datavrn warns only when at least two rows carry a ratio), which goes beyond the structured annotation.

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 compact yet complete, with the core purpose in the first sentence and all additional sentences carrying actionable context (usage before save, return contents, and ratio-total behavior). No filler or repetition of schema details.

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?

For a read-only tool with no output schema, the description adequately covers the return contents and why the total is included. It also ties into the save sibling. Minor gaps like pagination behavior are already covered by the schema's limit/offset descriptions, so the overall context is strong.

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 parameter has a thorough schema description (e.g., account_kind maps 'capital' to Note 3a and 'current' to Note 3b). The tool description reinforces the Note 3a/3b framing but does not add significant parameter-level meaning beyond the schema, so baseline 3 is appropriate.

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 reads the partner or owner capital schedule (Note 3a and Note 3b), with a specific verb ('Read') and resource. It differentiates from siblings such as save_partner_capital by explicitly framing itself as the read-before-write companion.

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?

Usage guidance is explicit: 'Call it before save_partner_capital so you can show your user what is on file and what your change would do.' It explains why reading first is necessary because the save replaces the whole section, and even discusses the Datavrn total-ratio warning behavior.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct resource or action — get_* reads, save_* writes, confirm_* approves, preview_* shows consequences before approval. Even the management-data trio (budgets, allocations, variance) is cleanly separated by surface. Two-step flows like preview_chart_rebaseline → confirm_complete_chart are clearly sequenced, so an agent won't confuse the stages.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun pattern: get_* for reads, list_* for discovery, save_* for section writes, confirm_* for approvals, create_* for new entities/centres, preview_* for pre-approval checks. The few one-offs (ingest_upload, upload_trial_balance, set_header_row) still fit the verb-first convention. No camelCase or style mixing.

Tool Count2/5

At 67 tools this is well past the 'too many' threshold. While the Schedule III domain genuinely is broad — statutorily mandated sections, two-phase approval flows, readiness checks, and a separate management-data area — the surface is heavy; an agent will spend real effort just surveying the tool list. Some consolidation of the save_reserves/provisions/assets movements or merging preview+confirm pairs is possible.

Completeness4/5

The surface covers the full lifecycle: upload → mapping/costing → grouping → capture (all statutory sections) → declarations → readiness → generate → finalise → download, plus entity setup and consolidated statements. Minor gaps: no tool directly exposes historical version diffing beyond list_snapshots, and the management-data section (budgets, allocations, variance) feels bolted on rather than integral to the core flow.

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