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qpulce-dev

salesforce-deployment-guard

by qpulce-dev

Validate Salesforce Metadata Manifest

validate_metadata_manifest
Read-only

Validate a Salesforce metadata manifest by detecting missing dependencies, duplicate entries, invalid names, self-references, and dependency cycles to ensure deployment readiness.

Instructions

Detect missing dependencies, duplicate entries, invalid names, self-references, and dependency cycles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
findingsYes
componentCountYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. It adds value by disclosing the specific types of issues it detects, which is beyond the annotations and helps the agent understand what to expect from the validation.

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 a single, information-dense sentence that front-loads the verb 'Detect' and lists all validations. There is no filler or redundant wording, making it highly efficient.

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?

The tool has one undocumented parameter (high schema coverage gap) and the description provides no guidance on how to construct the 'components' input. While an output schema exists (so return format is covered), the missing parameter explanation makes the description incomplete for a tool that expects a complex array structure.

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?

Schema description coverage is 0%, and the description does not explain the 'components' parameter at all. The schema structures the input (array of objects with name, type, dependsOn) but without descriptions, the agent is left to infer the meaning. The description should clarify what 'components' represents and the expected format, but it remains silent.

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 uses the specific verb 'Detect' and lists the exact validation checks (missing dependencies, duplicate entries, invalid names, self-references, dependency cycles). This clearly distinguishes it from sibling tools like analyze_deployment_log or build_remediation_plan, which address different concerns.

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 when to use this tool (when validating a manifest) but does not explicitly state when not to use it or provide alternatives. Sibling names are different enough that an agent can infer the purpose, but there is no explicit routing guidance.

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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