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Request data product access

springroll.connect.request_access
Idempotent

Requests access to a data product for one environment, naming the exact fields the application needs. A data owner must approve, and may narrow the field list or add a row filter before doing so. Nothing is readable until then. You never receive a credential: an approved grant lets the deployed application ask questions through the SpringRoll Connect gateway, which enforces the grant on every request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesQualified field names to request, as `dataset.field`. Ask for what the application actually reads, because a narrower request is approved faster and survives review.
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."
purposeNoWhy the application needs this data. Shown to the data owner.
applicationYesApplication slug or id.
dataProductYesData product slug from springroll.connect.data_products.
environmentTypeYesCanonical environment class. SpringRoll promotes development -> uat -> production.

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint=false, idempotentHint=true, destructiveHint=false), the description reveals the approval workflow, possible narrowing by the owner, lack of readable data before approval, and absence of returned credentials. It also clarifies that the gateway enforces the grant on every request, which is non-obvious behavior an agent needs to know.

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?

Three focused sentences front-load the action and scope, then add the approval constraint, access timing, and credential behavior. Every sentence adds information with no filler or repetition.

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 6-parameter workflow tool, the description covers the request object, approval process, field narrowing, access timing, and credential handling, complementing a 100%-covered schema. It does not mention how the caller learns the request outcome or that springroll.connect.access_status can be used afterward, which is the only notable gap.

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%, so the schema already documents all six parameters, including field naming and context. The description reinforces the overall intent ('exact fields') and environment scope but does not add meaning beyond the schema, matching the baseline of 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 opens with a specific verb and resource ('Requests access to a data product') and adds the scope 'for one environment' and 'naming the exact fields the application needs.' This clearly identifies the operation and distinguishes it from status or approval sibling tools without requiring schema inspection.

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?

It gives clear context: call this when an application needs a data product's fields, expect an approval step, and know that nothing is readable until approval. It does not explicitly name alternatives like springroll.connect.access_status or when not to call it, so it stops short of a full 5.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: app metadata, approvals, connect grants, deployments, placement, and policy are cleanly separated by namespace and verb. Even close pairs like placement.preview vs deploy or approval.submit vs deploy.promote are explicitly differentiated in their descriptions.

Naming Consistency4/5

Most tools follow a clear springroll.<area>.<verb> pattern (app.get, approval.submit, deploy.promote, policy.check). The pattern is weakened by a few noun-style or verb-only exceptions: springroll.context, springroll.deploy, and connect.data_products do not fit the same verb shape.

Tool Count5/5

Fifteen tools is at the upper bound of a well-scoped set, and each tool covers a distinct, justified part of the deployment and governance lifecycle. The count is appropriate for a platform that spans apps, approvals, data access, deployment, placement, and policy.

Completeness4/5

Core workflows are well covered: deploy, promote, poll status, preview placement, check policy, request/check data access, and submit/get approvals. Minor gaps exist around executing rollbacks or retirements after approval and listing/cancelling deployments, but these do not break the main agent workflows.

Resources