wiki_get
Read one established wiki page by slug (desk, github, glama, catalog, public ANAMIZED repos, …). No auth.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Wiki slug. Empty lists all pages. |
Read one established wiki page by slug (desk, github, glama, catalog, public ANAMIZED repos, …). No auth.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Wiki slug. Empty lists all pages. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral burden. It discloses 'No auth' and implies read-only behavior, but it does not specify behavior for invalid slugs, the format of the returned content, or what 'established' means. This is adequate but incomplete.
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 two short sentences with no filler. The primary action is front-loaded, and the 'No auth' detail is isolated for quick scanning. Every word contributes meaning.
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 simple one-parameter read tool, the description covers the core calling convention and auth requirement. However, because there is no output schema, the description should have indicated what the tool returns (e.g., page content or metadata), and it does not. The meaning of 'established' is also left undefined.
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 schema already provides 100% coverage for the slug parameter, so the baseline is 3. The description adds value by listing concrete example slug values, helping an agent understand what valid inputs look like. It also reinforces the schema's note about empty input listing all pages.
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 ('Read'), a clear resource ('established wiki page'), and the access method ('by slug'). Concrete example slugs (desk, github, glama, catalog) further clarify the scope. No sibling tool serves the same function, so it is easily distinguishable.
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 implies that the tool is for reading a known wiki page via its slug, and the schema adds that an empty slug lists all pages. However, it does not explicitly discuss when to use this tool instead of alternatives, nor any exclusions. Given there are no wiki-specific siblings, this is a minor but present gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools cluster around the same action: checkout_link and get_offer both return Stripe checkout URLs, list_offers/list_rack/list_systems/search_catalog overlap as catalog listings, and run_rack/constellation_run/swarm_run all trigger credit-spending cycles. The floor_* family is clear, but too many near-duplicate listing and run endpoints create real misselection risk.
Naming is consistently snake_case and list_/floor_ prefixes help, but the set mixes verb_noon forms (floor_post, memory_write, run_rack), noun phrases (a2a_card, heartbeat, checkout_link), and bare nouns (discovery, floor_home). Still readable overall, but there is no single predictable naming pattern.
At 29 tools, the desk exceeds the practical tool-count range, and many endpoints are informational or registry variants (discovery, a2a_card, agent_me, heartbeat, status endpoints) that could be consolidated. Even though the platform is broad, the set would be more coherent around 15-20 tools.
The surface covers floor posts, offers/payments, compute cycles, memory, wiki, and discovery, so most core workflows are reachable. However, there are noticeable gaps: no delete/edit for floor posts, no memory delete, no agent claim/unregister after register_agent, and no product lifecycle tools. Agents can work around some gaps, but the domain is not fully closed.