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Data Parrot AI Revenue Analyst for HubSpot

Select Data Parrot Workspace

select_data_parrot_workspace
Idempotent

Bind this MCP connection to one Data Parrot workspace after the user explicitly chooses from workspace_options returned by get_data_parrot_access_status. Never choose a workspace for the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenant_idYesTenant ID from workspace_options explicitly chosen by the user.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate non-read-only, non-destructive, and idempotent behavior. The description adds the important behavioral constraint that the agent must require explicit user choice, which is not captured in the annotations. It does not describe what happens to an existing binding, but the idempotentHint mitigates that concern.

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 two short sentences with no filler. The main action and precondition are front-loaded, and the critical user-consent rule is stated clearly and separately.

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 single-parameter tool with annotations and an output schema, the description covers the essential precondition and user-consent requirement. It could be more complete by addressing how this differs from switching or resetting a workspace binding, but it is not materially incomplete for correct invocation.

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?

The schema already provides 100% coverage, stating the tenant_id must come from workspace_options and be explicitly chosen by the user. The description reinforces this rule but adds little new parameter-level meaning beyond what the schema already conveys.

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 uses a specific verb 'Bind' and identifies the resource ('this MCP connection to one Data Parrot workspace'), making the tool's core action clear. It also mentions the prerequisite flow via get_data_parrot_access_status, which adds context, but it does not explicitly contrast itself with sibling tools like switch_data_parrot_workspace or reset_data_parrot_workspace_binding.

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?

The description provides clear context for when to use the tool: after the user explicitly chooses from workspace_options returned by get_data_parrot_access_status. It also gives a strong exclusion ('Never choose a workspace for the user'), but it does not explicitly mention alternatives such as switch_data_parrot_workspace or state when not to use this tool.

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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