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update_product

Update allowlisted product fields including metadata, pricing, listing state, payment options, wallet, branding, and slug. PATs are preferred and require mcp:products:write or mcp:*.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoProduct ID to update
nameNoUpdated product name
slugNoProduct slug to update
chainNoUpdated chain/network
priceNoUpdated product price
activeNoEnable or disable the product
apiKeyNoLegacy endpoint API key (x402_*)
logoUrlNoUpdated logo URL
newSlugNoNew slug to assign to the product
categoryNoUpdated product category
currencyNoUpdated currency code
isListedNoWhether the product should be listed
bannerUrlNoUpdated banner URL
customFontNoCustom font family
accessTokenNoYour dashboard MCP personal access token (sgl_pat_*)
descriptionNoUpdated product description
customPageBgNoCustom page background color
walletAddressNoUpdated payout wallet address
customButtonBgNoCustom button background color
customPageTextNoCustom page text color
paymentOptionsNoUpdated payment options object
productImageUrlNoUpdated product image URL
customButtonTextNoCustom button text color

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It discloses that PATs are preferred and require mcp:products:write or mcp:*, which is useful. However, it does not explain whether updates are partial or full replacements, what happens if a field is not allowed, or what response to expect. The mutation nature is implied by 'Update'.

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 sentences: the first states the purpose and scope, the second provides crucial authentication context. No wasted words, and the most important information is front-loaded.

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?

The tool has 23 optional parameters, no output schema, and no annotations. The description summarizes the field categories and auth requirements, and the schema handles parameter details. However, it lacks explicit statement of partial-update behavior and return value, which would be valuable for an update operation with this many parameters. The high schema coverage mitigates some of the incompleteness.

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 input schema has 100% parameter description coverage, so individual parameter semantics are already well-documented. The description adds high-level categorization (metadata, pricing, listing state, etc.) which helps understanding, but does not add detail beyond the schema. Baseline 3 is appropriate.

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 uses the specific verb 'Update' with the resource 'product' and names the categories of fields it can modify (metadata, pricing, listing state, payment options, wallet, branding, slug). This clearly distinguishes it from sibling tools like update_campaign or update_endpoint.

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 clearly implies when to use this tool: when updating product fields. It does not explicitly name alternatives, but the resource-specific scope ('product fields') provides enough context given the sibling tool names. It also adds guidance on authentication (PATs with required scopes).

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

B3.4/5.0
Disambiguation4/5

Most tools pair a clear verb with a distinct resource noun, so endpoints, agents, datasets, campaigns, products, and vault operations are generally easy to separate. The main risk is the repeated request_*_payment / *_with_payment pairs and the two create_*_with_payment tools, which are only distinguishable by reading descriptions carefully.

Naming Consistency4/5

The dominant pattern is verb_noun snake_case, such as list_my_endpoints, update_campaign, and finalize_agent_registration, and the payment/request pairs are consistently named. The vault_* tools use a namespace prefix rather than verb-first names, and vault_how_to_backup breaks the action-oriented convention, so it is not perfectly uniform.

Tool Count2/5

48 tools is a very large MCP surface, well beyond the 25-tool threshold where selection becomes a serious burden. Even though the server spans multiple domains, the count feels excessive for a single agent-facing tool set and should likely be split by domain.

Completeness3/5

The core endpoint, agent, marketplace, and payment flows are well covered, including creation, updates, stats, and two-phase x402 purchases. However, there is no create_product or delete_product, campaigns lack delete, and there is no way to list previously purchased datasets, leaving notable lifecycle gaps.

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