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timps_dpdp_act_auditor

Audit systems and data flows for compliance with India's DPDP Act 2023. Identify gaps in consent, notice, data-principal rights, breach handling, and penalties, then get a remediation roadmap.

Instructions

Audit a system or data flow against India's Digital Personal Data Protection Act 2023: consent, notice, data-principal rights, breach, penalties, and a remediation roadmap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions the tool will 'audit' and produce a 'remediation roadmap' but does not explain what happens during the audit (e.g., whether it modifies any settings, requires input files, or performs read-only analysis). The description lacks depth about potential side effects or dependencies.

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 sentence, efficient and front-loaded with the main purpose. It packs key compliance areas into a list without verbosity. However, it omits necessary details about parameters or audit scope, but the structure is clean and concise.

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 complexity (legal compliance audit) and the minimal schema (2 params, no output schema, no annotations), the description is incomplete. It fails to specify what inputs are required (e.g., system documentation, data flow diagrams), what the output looks like beyond 'roadmap', or any limitations. The lack of output schema makes the description more critical, yet it leaves major gaps.

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

Parameters2/5

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

The schema covers both parameters with descriptions, but the description adds no extra meaning. 'request' is vaguely defined as 'Plain-English task or context' and 'language' as a programming language, yet the tool's core function is a compliance audit — it's unclear why a 'language' parameter is needed or what 'request' should specifically include. The description fails to elaborate how these params drive the audit.

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 clearly states the tool audits systems or data flows against India's DPDP Act 2023, specifying the key compliance areas (consent, notice, rights, breach, penalties) and outputs a remediation roadmap. This distinguishes it from generic compliance or security auditors in the sibling list, though it doesn't explicitly contrast with them.

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

Usage Guidelines3/5

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

The description implies the tool is for DPDP Act compliance audits but does not explicitly state when to use it versus alternatives like timps_compliance_auditor or timps_security_guard. It lacks guidance on exclusions or specific use cases beyond the general 'audit a system or data flow' 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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