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vikranthviki

Causal Decision Agent

by vikranthviki

bib_for

Read-only

Generate a structured citation from a fitted result to support reproducible audit trails in evidence-based decision workflows.

Instructions

Top-level structured citation for a fitted result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNoPayload depth: 'minimal' (~150 tokens) for sub-step calls where only the point estimate is needed; 'standard' (~1K tokens) for diagnostics + coefficient table; 'agent' (~2K tokens, default) adds violations / next_steps / suggested_functions so the LLM can plan its next call without another round-trip.agent
resultYesAny fitted result object exposing a ``.cite()`` method.
as_handleNoIf true, cache the fitted result on the server and return result_id + result_uri alongside the JSON payload so a subsequent tools/call can chain without re-running.
data_pathNoAbsolute path or URL to a data file. Supported: .csv / .tsv / .txt (delimited), .parquet / .pq, .feather / .arrow, .xlsx / .xls, .dta (Stata), .json / .jsonl. Schemes: file://, s3://, gs://, https://.
result_idNoOptional handle to a previously-fitted result (returned by an earlier call when as_handle=true). Tools that operate on a fitted object accept this in place of re-supplying data_path + columns.
data_columnsNoOptional column projection. Parquet/Feather/Stata loaders honour this for fast partial reads.
data_sample_nNoOptional uniform random subsample size (seed=0, deterministic) — useful on huge panels.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the description adds no behavioral nuance. It doesn't mention the caching behavior via as_handle, the effect of detail levels, or any side effects. Since annotations carry the safety profile, the description fails to add beyond that.

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

Conciseness3/5

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

The description is a single sentence, which is concise and front-loaded, but it is too sparse to be useful for an agent. For a tool with seven parameters and meaningful choices (detail levels, as_handle), a bit more guidance would be warranted without becoming verbose. It is not wordy, but it under-delivers.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's many parameters and the sibling context (e.g., bibtex), the description is incomplete. It doesn't explain when to use this vs. bibtex, nor the significance of detail levels or as_handle. While an output schema exists (so return values needn't be described), an agent still lacks guidance on invocation choices.

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?

All seven parameters are described in the schema (100% coverage), so the baseline is 3. The description adds no information about parameters itself, but the schema does the heavy lifting. The description's brevity doesn't detract from parameter clarity.

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?

The description states a clear action: providing a structured citation for a fitted result. It identifies the resource (fitted result) and the output (citation). However, 'top-level' is ambiguous and doesn't distinguish well from sibling tools like bibtex, which may also generate citations. Still, it conveys the core purpose unambiguously.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives (e.g., bibtex, brief_result). No mention of entry conditions, required prior steps, or when the different detail levels would be appropriate. The description is purely a statement of what it does, lacking any 'when' or 'when not' context.

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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