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CatchAll (by NewsCatcher)

add_project_resources

Add one or more resources to a project.

Webhooks are first-class project resources: a webhook can belong to several projects at the same time, and deleting a project only detaches its webhooks — it never deletes them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoCatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.
resourcesYesA list of resource objects, each `{"resource_type": ..., "resource_id": ...}`. `resource_type` is one of: 'job', 'monitor', 'dataset', 'monitor_group', 'webhook'. May also be passed as a JSON-string array for client compatibility.
project_idYesThe project ID to add resources to.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It adds useful context about webhooks being first-class project resources and clarifies that deleting a project only detaches webhooks rather than deleting them. However, it does not address idempotency, error conditions, permissions, or side effects beyond the webhook note, leaving gaps for a tool that modifies project membership.

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. The first states the action clearly; the second adds a meaningful behavioral note. Every word earns its place, and the structure is front-loaded with the primary purpose. This is exemplary conciseness.

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 simple tool with full schema coverage and an output schema, the description provides enough context: a clear purpose and a relevant edge-case note about webhooks. It is slightly incomplete on usage guidance versus sibling tools, but given the low complexity and strong schema backing, this is a solid 4.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3. The description adds semantic value to the 'resources' parameter by explaining that webhooks are first-class project resources and can belong to multiple projects simultaneously. This goes beyond the schema's allowed resource_type list and clarifies resource_type=webhook nuances, earning a 4.

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's purpose: 'Add one or more resources to a project.' This is a specific verb+resource pairing. It does not explicitly name sibling tools, but the webhook note distinguishes project-resource management from webhook-specific operations like assign_webhook_resource, providing implicit differentiation.

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?

The description gives no explicit guidance on when to use this tool versus alternatives. For example, it does not mention assign_webhook_resource or remove_project_resource. The webhook note implies project membership behavior, but there is no direct 'use this when' or 'use that instead' advice, leaving the agent to infer the appropriate 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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool is scoped to a specific resource type and action, with clear distinctions between similarly named operations (e.g., pull_results vs pull_job_csv, initialize_query vs validate_query). No two tools appear to perform the same function.

Naming Consistency4/5

Tools consistently use snake_case verb_noun patterns (create_X, get_X, list_X, update_X, delete_X), with domain-specific verbs like submit, pull, initialize, and validate adding semantic clarity. Minor deviations such as pull_* vs get_* and compound names like create_dataset_from_csv are still predictable.

Tool Count2/5

At 60 tools, the server is heavily overstuffed for a single MCP surface. While the broad domain (datasets, entities, jobs, monitors, projects, webhooks) justifies many operations, the sheer volume exceeds typical recommended limits and includes near-duplicates (pull_results vs pull_job_csv, get_dataset vs get_dataset_status), making agent tool selection unwieldy.

Completeness4/5

The tool set provides robust CRUD and lifecycle coverage for all major resources, including special operations like csv import, webhook mapping, and monitor enable/disable. Minor gaps such as the absence of a get_monitor (single monitor details) and no cancel_job can be worked around via list_monitors and waiting for job completion.

Resources