Skip to main content
Glama

Create PowerSource from URL

create_powersource_url

Build a complete creative intelligence profile of a brand from a single website URL. Takes a website URL (homepage, PDP, landing page) plus optional idempotency_key, force_refresh, and webhook_url. Returns a job_id immediately; poll with get_powersource every 3-5s (typically 60-90s total). The final payload contains 14 structured sections: identity, offer, selling_points, brand_story, brand_style, brand_assets, brand_voice, buyer_profile, 12 buyer tensions, marketing angles, emotional_arcs, ctas, proof_assets, and strategic narrative.

Use this when the user says "analyse my brand", "load my brand", "build a strategy from my site", "what should my ads say", "decode this website", or pastes a homepage / competitor URL and wants a brand profile (not an ad decode). Also use this as the brand layer before calling generate_adscript — pass the returned powersource_id.

Costs 100 credits. Re-scanning the same URL within your org returns the cached result free.

Do NOT use for internal docs / PDFs / brand guidelines — use create_powersource_docs. For URL + docs combined (highest fidelity), use create_powersource_full. Do NOT use to decode a video ad — use decode_ad.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesWebsite URL to analyze. Supports any public website (e.g., gymshark.com, notion.so). Bare domains auto-resolve to https.
brand_idNoOptional Brand to attach this scan to. Get from list_brands. When omitted, the pipeline auto-resolves a brand by the scanned domain (creating one if needed) — the addendum D6 default. Pass this when you have an existing brand_id (e.g. from a prior list_brands call) and want to guarantee linkage rather than relying on domain match.
webhook_urlNoHTTPS URL to receive a POST notification when the scan completes or fails. Eliminates need for polling.
force_refreshNoForce re-extraction of brand data even if cached. Use when a brand has rebranded or updated their website.
idempotency_keyNoOptional unique key to make this call safely retryable. If the same key + org repeats, the original result is returned without re-charging.

TDQS

A4.8/5.0
Behavior5/5

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

Discloses async polling behavior (poll every 3-5s, 60-90s total), suggests get_powersource, details the 14-section output payload, and states cost/credit usage. Annotations already mark readOnlyHint=false and destructiveHint=false; description adds significant behavioral context without contradiction.

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?

Front-loaded main goal, then parameters, then usage guidelines. Slightly long but justified by complexity; uses bullet-like list for output sections. Could be tightened slightly but effective.

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

Completeness5/5

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

Provides all necessary context: async return pattern, output structure (14 sections), polling guidance, cost, caching, sibling differentiation, and exclusion criteria. No gaps given no output schema.

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 covers 100% of parameters; description adds value beyond schema by explaining url auto-resolution, brand_id usage context, idempotency_key retry safety, and caching nuance for force_refresh. Webhook_url is minimally explained but acceptable.

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?

Describes specific action: 'Build a complete creative intelligence profile of a brand from a single website URL.' Clearly distinguishes from siblings create_powersource_docs and create_powersource_full by stating what each is for.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly lists typical user prompts that trigger this tool, provides when-not-to-use instructions with alternative tool names, and mentions cost and caching behavior. No ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation4/5

Despite the high tool count, most tools have distinct purposes with thorough descriptions that specify when to use each. Some overlap exists among creative direction tools (call_creative_worlds vs chat_with_creative_worlds), but the descriptions clarify usage patterns.

Naming Consistency3/5

Naming conventions are inconsistent overall: some follow verb_noun (create_powersource_url, decode_ad), others use noun_verb or compound names (adformula_intelligence, fleet_analytics_overview). However, subgroups like dispatch_* and list_*_presets maintain internal consistency.

Tool Count2/5

112 tools is far beyond the typical 3-15 range for well-scoped servers. While the server covers a broad domain, the sheer number likely overwhelms agents and suggests insufficient consolidation of related operations.

Completeness4/5

The tool set covers core creative intelligence workflows: brand analysis, ad decoding, script generation, creative direction, and research. Minor gaps exist (e.g., no social media publishing tools), but the main use cases are well-supported.