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Sync Context from URL

sync_context_from_url
Destructive

Extract business context (industry, objectives) from a company website URL. Uses AI to analyze the website content and automatically populates the customer's business context fields. This helps the optimization agent understand the business better.

Input Schema

NameRequiredDescriptionDefault
urlYesThe company website URL to extract context from (e.g., 'https://example.com')
overwriteNoIf true, overwrite existing context values. If false (default), only fill empty fields.
customerIdNo(Converra superadmin only) Target customer ID to act on behalf of

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true, and openWorldHint=true, and the description adds that AI analyzes website content to populate fields. However, it does not warn that existing context can be overwritten (destructiveHint=true) – that nuance lives only in the schema's 'overwrite' param, so the description misses the most safety-relevant behavior.

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?

Three short sentences, front-loaded with the core action and free of redundancy. The final sentence about helping the optimization agent is mildly expendable but not wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, open-world mutation tool with no output schema, the description covers purpose but omits failure behavior, overwrite implications, and the superadmin-scoped 'customerId' context (left to the schema). Adequate but with clear gaps for a mutation.

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%, with 'url', 'overwrite', and 'customerId' fully documented in the schema itself. The description names the extracted fields (industry, objectives) but adds no syntax or format detail beyond what the schema already provides, so the baseline applies.

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?

States a specific verb and resource – 'Extract business context (industry, objectives) from a company website URL' – and names the fields populated. An agent can identify the operation clearly, though it does not explicitly contrast itself with any sibling tool.

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 notes that this 'helps the optimization agent understand the business better,' implying context, but offers no explicit when-to-use, when-not-to-use, or alternative guidance. Nothing tells the agent when syncing from URL is preferable to other context-setting flows.

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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