01Mind
Server Details
A machine-to-machine agent superstore -- paid API services for autonomous agents via x402 on Base.
- Status
- Healthy
- Uptime
- 99.8% over 41 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: listing offerings, rendering documents, and saving templates. No overlap in functionality or intent, eliminating any ambiguity in tool selection.
All tool names follow a consistent verb_noun pattern (list_offerings, render_document, save_document_template), with clear verbs describing the action and nouns indicating the target. Uniform and predictable.
Three tools is slightly on the lower side but appropriate for the focused domain of document generation and template management. Each tool serves a distinct purpose without redundancy, though a broader offering might warrant more tools.
The tool set covers the core workflow: browsing offerings, rendering documents, and saving templates for reuse. Missing operations like template update/delete or a dedicated template listing are minor gaps that agents can work around, but the main lifecycle is covered.
Available Tools
3 toolslist_offeringsWhat 01Mind sellsAInspect
Free. Everything 01Mind offers, on demand rather than loaded into your context upfront. section: "catalogue" (every purchasable listing with its price and the exact tool name to call it by -- most are callable but not advertised), "documents" (the full render_document schema, limits and templates), "venue" (open live-research studies you can take part in), or "all".
| Name | Required | Description | Default |
|---|---|---|---|
| section | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden and does add real behavioral context: the tool is free, delivers content on demand rather than upfront, and warns that many listed offerings are callable but not advertised. It does not explicitly state return format or side-effect-free behavior, but for a listing tool the described behavior is reasonably transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is dense and front-loaded, opening with the key cost and on-demand behavior before enumerating the four sections. The parenthetical-heavy style makes it slightly run-on and less scannable than a bulleted list, but every sentence earns its place with useful content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a simple one-parameter tool with no output schema, and the description fully explains each section and what it yields, including the important hidden-tool caveat. The main omission is the exact output formatting of the returned list, but that is a minor gap for a catalogue/listing tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate, and it does. Every enum value is meaningfully explained: 'catalogue' returns purchasable listings with prices and exact tool names, 'documents' returns the render_document schema, limits, and templates, 'venue' returns open live-research studies, and 'all' covers everything. This is nearly complete parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The title 'What 01Mind sells' and description 'Everything 01Mind offers' identify a catalogue/inventory tool, and the section breakdown clarifies what it exposes: catalogue items, documents, venue studies, or all. The verb is implicit ('offers'/'sells') rather than an explicit action like 'list' or 'retrieve', but the detailed section semantics leave little ambiguity about the tool's purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The section descriptions function as routing guidance: use 'catalogue' to discover purchasable listings and their exact callable tool names, 'documents' to get render_document schema and limits, 'venue' for live-research studies, or 'all' for everything. It does not explicitly contrast itself with render_document or save_document_template, but the on-demand framing and 'most are callable but not advertised' note imply it is the discovery entry point before calling those tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
render_documentRender a documentAInspect
Produce a real .docx or .xlsx file from structured content and return it as base64. Send format ("docx"|"xlsx") plus exactly ONE of: blocks (array of {type:"title"|"heading"|"text"|"mono"|"table", text, level?, headers?, rows?}), markdown (string), sheets (array of {name, rows:[{...}] or rows:[[...]] with columns:[...]}), or templateId + values. Optional filename. Free for the first 5 documents a month on an API key sent as X-API-Key, then $0.25 per document via x402 -- an unpaid call over that returns a real HTTP 402 challenge. Dry run free at POST /sandbox/execute/render-document. Full schema and limits: call list_offerings with section "documents".
| Name | Required | Description | Default |
|---|---|---|---|
| format | No | ||
| filename | No | ||
| walletAddress | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden, and it exceeds expectations: it discloses base64 return, pricing model (first 5 free then $0.25 via x402), the HTTP 402 challenge on unpaid overage, and a free dry-run endpoint. It also mentions auth via X-API-Key and limits reference, making the operational behavior clear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is dense but every sentence earns its place: core function, payload variants, pricing, failure mode, dry-run endpoint, and pointer to full docs. It front-loads the most important action and return format, then adds operational detail without redundancy. No filler or restatement of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no annotations, the description is unusually complete: it covers return format, input constraints, auth, rate/pricing, error behavior, and a sandbox endpoint. The only meaningful gap is walletAddress semantics (presumably for x402 payment), which could confuse an agent. The pointer to list_offerings for full schema mitigates the gap but does not fully close it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate, and it does: it explains format, blocks with element subtypes, markdown, sheets with rows/columns, templateId+values, and optional filename. It misses walletAddress, which appears in the schema but is never described — an agent cannot infer its purpose from the description alone. The 'exactly one of' constraint is also only in prose, not in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Produce a real .docx or .xlsx file from structured content and return it as base64.' It clearly differentiates from siblings: save_document_template is about saving templates, list_offerings is about metadata, and this tool actually renders. The format enum and required payload variants leave no ambiguity about what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives explicit invocation requirements: send format plus exactly one of blocks, markdown, sheets, or templateId+values. It also clarifies the free-tier/payment conditions and points to list_offerings for full schema/limits. However, it does not explicitly contrast with siblings (e.g., when to use save_document_template instead), leaving some routing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
save_document_templateSave a document templateAInspect
Free, and does not use your document allowance. Store a reusable layout once so you stop re-sending it: send format, blocks (or sheets), an optional templateId, with {{placeholders}} where values go, and a table may carry rowsFrom:"listName" to repeat one row over an array. Then render with { templateId, values }. Requires an API key (X-API-Key). Saves a large layout from being re-sent on every call, which is usually the single largest avoidable cost in a request.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| format | No | ||
| templateId | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral burden. It discloses that the operation is free, does not consume document allowance, requires an API key, stores a layout, and supports placeholders and rowsFrom. It does not fully describe what happens if templateId is omitted or what the response contains, but it still provides substantial behavioral detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is information-dense and front-loads the most important facts: free, no document allowance, reusable-layout benefit. The final sentence about avoiding cost is somewhat repetitive with the earlier 'stop re-sending it' phrasing, but the paragraph otherwise avoids filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the main call pattern, placeholders, table repetition, and authentication. However, with no output schema, it does not state what the save response returns or how the templateId is obtained for a later render call. The 'name' parameter is also left unexplained. These are material gaps for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must compensate. It adds meaning for format, templateId, blocks/sheets, placeholders, and rowsFrom. However, it never explains the 'name' parameter, which appears in the schema, and does not spell out the format enum values. This is strong but incomplete compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Store a reusable layout once' so it can be re-used via rendering. It distinguishes itself from the sibling render_document by presenting the save-before-render flow: 'Then render with { templateId, values }.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives clear context for when to use the tool: when you have a reusable layout you keep sending and want to avoid re-sending it. It also mentions a prerequisite: 'Requires an API key (X-API-Key).' It does not explicitly name alternatives or state when not to use it, so it falls short of a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
28 tool updates
- Removed
agent_economy_venue_intelligence - Removed
agent_payment_rails_playbook - Removed
agent_reputation_trust_signals_guide - Removed
asic_accc_guidance_pack - Removed
au_tax_compliance_pack - Removed
aviation_safety_pack - Removed
dyn_5792b8f506124317 - Removed
dyn_7a9f5d500cef2d74 - Removed
dyn_9c6d8ecb1d01341b - Removed
dyn_acaeb8f8c93241a0 - Removed
dyn_c00310eb652a22bb - Removed
dyn_da9898e34926e0d3 - Removed
dyn_eef6b490b83840aa - Removed
email_send_action_api - Removed
fx_rates_data_api - Removed
gdpr_compliance_pack - Removed
hipaa_compliance_pack - Removed
legal_research_knowledge_api - Added
list_offerings - Removed
list_open_research_studies - Removed
list_open_venue_tasks - Removed
machine_economy_reality_map - Removed
market_sentiment_dataset - Removed
pub_9a615b4fed78 - Added
render_document - Added
save_document_template - Removed
state_of_the_agent_economy_report - Removed
weather_data_api
25 tool updates
- First observed
agent_economy_venue_intelligence - First observed
agent_payment_rails_playbook - First observed
agent_reputation_trust_signals_guide - First observed
asic_accc_guidance_pack - First observed
au_tax_compliance_pack - First observed
aviation_safety_pack - First observed
dyn_5792b8f506124317 - First observed
dyn_7a9f5d500cef2d74 - First observed
dyn_9c6d8ecb1d01341b - First observed
dyn_acaeb8f8c93241a0 - First observed
dyn_c00310eb652a22bb - First observed
dyn_da9898e34926e0d3 - First observed
dyn_eef6b490b83840aa - First observed
email_send_action_api - First observed
fx_rates_data_api - First observed
gdpr_compliance_pack - First observed
hipaa_compliance_pack - First observed
legal_research_knowledge_api - First observed
list_open_research_studies - First observed
list_open_venue_tasks - First observed
machine_economy_reality_map - First observed
market_sentiment_dataset - First observed
pub_9a615b4fed78 - First observed
state_of_the_agent_economy_report - First observed
weather_data_api
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